cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6danccnl
title: IPCC DDC: NCC NorESM2-LM model output prepared for CMIP6 DAMIP

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.DAMIP.NCC.NorESM2-LM' 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 NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.17029/075e9f6f-d32c-4b3d-a6d6-350f77aa37c3
title: Examining the effects of video modelling and self-controlled feedback in a primary school physical education setting: a comparison of two schools of differing socio-economic status

description: Raw data for the project, 1 file (Raw_Data.xlsx)
DOI: 10.5281/zenodo.8252576
title: Data associated with 10.1016/j.cimid.2022.101909

description: Provided data are associated with "Host gene expression is associated with viral shedding magnitude in blue-winged teals (Spatula discors) infected with low-path avian influenza virus" doi: https://doi.org/10.1016/j.cimid.2022.101909
DOI: 10.5281/zenodo.8252575
title: Data associated with 10.1016/j.cimid.2022.101909

description: Provided data are associated with "Host gene expression is associated with viral shedding magnitude in blue-winged teals (Spatula discors) infected with low-path avian influenza virus" doi: https://doi.org/10.1016/j.cimid.2022.101909
DOI: 10.5517/ccdc.csd.cc20bmff
title: CCDC 1857254: Experimental Crystal Structure Determination

description: Related Article: Li-Li Zhu, Peng Hu, Jiang-Fei Cao, Yan-Hua Zhao, Yan-Ni Wu, Yi-Xuan Zhu, Yan Su, Cao Wang|2018|Polyhedron|155|375|doi:10.1016/j.poly.2018.08.058
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.cc20bmgg
title: CCDC 1857255: Experimental Crystal Structure Determination

description: Related Article: Li-Li Zhu, Peng Hu, Jiang-Fei Cao, Yan-Hua Zhao, Yan-Ni Wu, Yi-Xuan Zhu, Yan Su, Cao Wang|2018|Polyhedron|155|375|doi:10.1016/j.poly.2018.08.058
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.cc20bmhh
title: CCDC 1857256: Experimental Crystal Structure Determination

description: Related Article: Li-Li Zhu, Peng Hu, Jiang-Fei Cao, Yan-Hua Zhao, Yan-Ni Wu, Yi-Xuan Zhu, Yan Su, Cao Wang|2018|Polyhedron|155|375|doi:10.1016/j.poly.2018.08.058
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.cc23p2qm
title: CCDC 1956680: Experimental Crystal Structure Determination

description: Related Article: Shuqi Ma, Xiaochun Deng, Mohan Zhong, Mei Zhu, Li Zhang|2020|Polyhedron|179|114370|doi:10.1016/j.poly.2020.114370
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.8252620
title: Data used in the physical-biogeochemical model of Danjiangkou Reservoir

description: The date set includes meteorological, hydrological, water quality, and organic carbon loading data obtained in 2009 for the Danjiangkou Reservoir in China. The data were used to set the boundary conditions of the physical-biogeochemical model, which was adopted to simulate reservoir methane dynamics in the Danjiangkou Reservoir.
DOI: 10.26050/wdcc/ar6.c6danggfl
title: IPCC DDC: NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 DAMIP

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.DAMIP.NOAA-GFDL.GFDL-CM4' 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 GFDL-CM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-BLINGv2, seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 25 km, ocnBgchem: 25 km, seaIce: 25 km.
DOI: 10.26050/wdcc/ar6.c6danggfd
title: IPCC DDC: NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 DAMIP

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.DAMIP.NOAA-GFDL.GFDL-ESM4' 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 GFDL-ESM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km.
DOI: 10.25345/c54m91m77
title: MassIVE MSV000092668 - Rapid and in-depth proteomic profiling of small extracellular vesicles for ultralow samples
title: The form and function of extracellular vesicles (EV) is defined by their proteome. This knowledge is essential to describe and understand EVs, encompassing their marker proteins, capacity as a signalling platform, and utility as diagnostic tools and therapeutic targets. However, EV are low-abundant entities in the secreteome and biological samples, with disease-specific EV proteins often present in low abundance challenging their detection and quantification due to the inherent challenges in dynamic range using mass spectrometry-based strategies. Combined with lack of protein amplification mechanisms, their proteomic studies require upscaling cell cultures or larger volumes of biofluids. Here, we outline high-sensitivity sample preparation and finely tuned LC gradients for DIA to obtain precise and comprehensive proteome of EVs from ultra-low sample amounts (sub-nanogram).
DOI: 10.17617/4.dq
title: Tuning interfacial charge transfer in atomically precise nanographene-graphene heterostructures by engineering van der Waals interactions

description: Yu, X., Fu, S., Mandal, M., Yao, X., Liu, Z., Zheng, W., et al. (2022). Tuning interfacial charge transfer in atomically precise nanographene-graphene heterostructures by engineering van der Waals interactions. The Journal of Chemical Physics, 156(7): 074702. doi:10.1063/5.0081074.
DOI: 10.17876/plate/dr.3/plates/101_1000
title: Digital object identifier (DOI) for the plate 1000 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1001
title: Digital object identifier (DOI) for the plate 1001 in archive 101 from the APPLAUSE DR3
DOI: 10.6084/m9.figshare.23949507.v3
title: Dataset

description: dune dataset
DOI: 10.17876/plate/dr.3/plates/101_1002
title: Digital object identifier (DOI) for the plate 1002 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1003
title: Digital object identifier (DOI) for the plate 1003 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1004
title: Digital object identifier (DOI) for the plate 1004 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1005
title: Digital object identifier (DOI) for the plate 1005 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1006
title: Digital object identifier (DOI) for the plate 1006 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1007
title: Digital object identifier (DOI) for the plate 1007 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1008
title: Digital object identifier (DOI) for the plate 1008 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1009
title: Digital object identifier (DOI) for the plate 1009 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_100
title: Digital object identifier (DOI) for the plate 100 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1010
title: Digital object identifier (DOI) for the plate 1010 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1011
title: Digital object identifier (DOI) for the plate 1011 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1012
title: Digital object identifier (DOI) for the plate 1012 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1013
title: Digital object identifier (DOI) for the plate 1013 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1014
title: Digital object identifier (DOI) for the plate 1014 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1015
title: Digital object identifier (DOI) for the plate 1015 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1016
title: Digital object identifier (DOI) for the plate 1016 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1017
title: Digital object identifier (DOI) for the plate 1017 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1018
title: Digital object identifier (DOI) for the plate 1018 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1019
title: Digital object identifier (DOI) for the plate 1019 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_101
title: Digital object identifier (DOI) for the plate 101 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1020
title: Digital object identifier (DOI) for the plate 1020 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1021
title: Digital object identifier (DOI) for the plate 1021 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1022
title: Digital object identifier (DOI) for the plate 1022 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1023
title: Digital object identifier (DOI) for the plate 1023 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1024
title: Digital object identifier (DOI) for the plate 1024 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1025
title: Digital object identifier (DOI) for the plate 1025 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1026
title: Digital object identifier (DOI) for the plate 1026 in archive 101 from the APPLAUSE DR3
DOI: 10.6084/m9.figshare.23666688.v1
title: Supplementary Material for: Comparison of different internal limiting membrane peeling sizes for idiopathic macular holes: a systematic review and meta-analysis

description: Background: Although internal limiting membrane (ILM) peeling facilitates macular hole (MH) closure and reduces late hole reopening, it brings some detrimental consequences to the retinal microstructure and functional outcomes. So far, previous studies have not reached a consensus on the optimal ILM peeling size. Objectives: To evaluate the outcomes of different ILM peeling sizes for idiopathic MHs. Methods: PubMed, EMBASE, Cochrane Library, Web of Science, CNKI and WANFANG were searched until April 10th, 2022. Studies in English or Chinese that comparing effects of two ILM peeling sizes (&gt; 2 disk diameters [DD] vs ≤ 2DD) for idiopathic MHs were included. The overall closure rate, postoperative best-corrected visual acuity (BCVA), type 1 closure, and adverse events were extracted. BCVA was converted to logarithm of the minimum angle of resolution (LogMAR). Results: Seven eligible studies (560 eyes) including 3 randomized clinical trials, 3 prospective trials and one retrospective cohort were included. Pooled results showed a significantly better postoperative BCVA (mean difference = -0.16; 95% confidence interval [CI]: -0.27 to -0.04; LogMAR) and higher type 1 closure rate (risk ratio = 1.24; 95% CI: 1.08 to 1.43) in eyes with ILM peeling &gt; 2DD than those with peeling ≤ 2DD. No significant difference was found in overall closure rate and adverse events between the two groups. Subgroup analysis indicated that in MHs &gt; 400μm, peeling &gt; 2DD helped obtain a better postoperative BCVA (mean difference = -0.17; 95% CI: -0.29 to -0.04; LogMAR) and higher frequency of type 1 closure (risk ratio = 1.25; 95% CI: 1.03 to 1.51). Conclusions: Peeling &gt; 2DD shares similar safety level with peeling ≤ 2DD and has a superiority of facilitating visual recovery. Larger ILM peeling may be more beneficial for large MHs.
DOI: 10.17876/plate/dr.3/plates/101_1027
title: Digital object identifier (DOI) for the plate 1027 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1028
title: Digital object identifier (DOI) for the plate 1028 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1029
title: Digital object identifier (DOI) for the plate 1029 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_102
title: Digital object identifier (DOI) for the plate 102 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1030
title: Digital object identifier (DOI) for the plate 1030 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1031
title: Digital object identifier (DOI) for the plate 1031 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1032
title: Digital object identifier (DOI) for the plate 1032 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1033
title: Digital object identifier (DOI) for the plate 1033 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1034
title: Digital object identifier (DOI) for the plate 1034 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1035
title: Digital object identifier (DOI) for the plate 1035 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1036
title: Digital object identifier (DOI) for the plate 1036 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1037
title: Digital object identifier (DOI) for the plate 1037 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1038
title: Digital object identifier (DOI) for the plate 1038 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1039
title: Digital object identifier (DOI) for the plate 1039 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_103
title: Digital object identifier (DOI) for the plate 103 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1040
title: Digital object identifier (DOI) for the plate 1040 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1041
title: Digital object identifier (DOI) for the plate 1041 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1042
title: Digital object identifier (DOI) for the plate 1042 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1043
title: Digital object identifier (DOI) for the plate 1043 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1044
title: Digital object identifier (DOI) for the plate 1044 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1045
title: Digital object identifier (DOI) for the plate 1045 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1046
title: Digital object identifier (DOI) for the plate 1046 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1047
title: Digital object identifier (DOI) for the plate 1047 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1048
title: Digital object identifier (DOI) for the plate 1048 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1049
title: Digital object identifier (DOI) for the plate 1049 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_104
title: Digital object identifier (DOI) for the plate 104 in archive 101 from the APPLAUSE DR3
DOI: 10.34740/kaggle/dsv/6313257
title: Data of public procurement of Ecuador
DOI: 10.17876/plate/dr.3/plates/101_1050
title: Digital object identifier (DOI) for the plate 1050 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1051
title: Digital object identifier (DOI) for the plate 1051 in archive 101 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/101_1052
title: Digital object identifier (DOI) for the plate 1052 in archive 101 from the APPLAUSE DR3