cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8158422
title: Vocoder VOC 490 for Elcrovox 1-0 (Inv. 2020-389)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Vocoder VOC 490 for Elcrovox 1-0<br> Inv.-No. of the Deutsches Museum: 2020-389 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.670<br> Y pixel spacing: 0.670<br> Z pixel spacing: 0.600<br> grid size x: 679<br> grid size y: 486<br> grid size z: 1063<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.8143788
title: Cipher Machine Telekrypt-DAT 712 (Inv. 2017-414)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Telekrypt-DAT 712<br> Inv.-No. of the Deutsches Museum: 2017-414 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1946<br> grid size y: 1018<br> grid size z: 2744<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.8143787
title: Cipher Machine Telekrypt-DAT 712 (Inv. 2017-414)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Telekrypt-DAT 712<br> Inv.-No. of the Deutsches Museum: 2017-414 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1946<br> grid size y: 1018<br> grid size z: 2744<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.8155266
title: Cipher Machine Elcrotel 4 (Inv. 2020-392)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Elcrotel 4<br> Inv.-No. of the Deutsches Museum: 2020-392 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1567<br> grid size y: 1062<br> grid size z: 3191<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.8155265
title: Cipher Machine Elcrotel 4 (Inv. 2020-392)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Elcrotel 4<br> Inv.-No. of the Deutsches Museum: 2020-392 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1567<br> grid size y: 1062<br> grid size z: 3191<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.26050/wdcc/ar6.c6cmimxml2
title: IPCC DDC: MPI-M MPIESM1.2-LR model output prepared for CMIP6 C4MIP

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.C4MIP.MPI-M.MPI-ESM1-2-LR' 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 MPI-ESM1.2-LR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: none, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km.
DOI: 10.5281/zenodo.8158489
title: Cipher Machine Elcrobit 4 (Inv. 2020-395)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Elcrobit 4<br> Inv.-No. of the Deutsches Museum: 2020-395 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1795<br> grid size y: 1561<br> grid size z: 2700<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.8158488
title: Cipher Machine Elcrobit 4 (Inv. 2020-395)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Elcrobit 4<br> Inv.-No. of the Deutsches Museum: 2020-395 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1795<br> grid size y: 1561<br> grid size z: 2700<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.7977475
title: Datasets of "Differences in the stool metabolome between vegans and omnivores: analyzing the NIST stool reference material" publication

description: To gain confidence in results of omic-data acquisitions, methods must be benchmarked by validated quality control materials. We here report data combining both untargeted and targeted metabolomics assays for the analysis of four new human fecal reference materials developed by the U.S. National Institute of Standards and Technologies (NIST) for metagenomics and metabolomics measurements. These reference grade test materials (RGTM) were established by NIST based on two different diets and two different samples treatments: homogenized fecal matter from subjects eating vegan diets, stored and submitted in either lyophilized (RGTM 10162) or aqueous form (RGTM 10171); secondly, homogenized fecal matter from subjects eating omnivore diets, stored and submitted in either lyophilized (RGTM 10172) or aqueous form (RGTM 10173). We used four untargeted metabolomics assays (lipidomics, primary metabolites, biogenic amines and polyphenols) and one targeted assay on bile acids.
DOI: 10.5281/zenodo.7977474
title: Datasets of "Differences in the stool metabolome between vegans and omnivores: analyzing the NIST stool reference material" publication

description: To gain confidence in results of omic-data acquisitions, methods must be benchmarked by validated quality control materials. We here report data combining both untargeted and targeted metabolomics assays for the analysis of four new human fecal reference materials developed by the U.S. National Institute of Standards and Technologies (NIST) for metagenomics and metabolomics measurements. These reference grade test materials (RGTM) were established by NIST based on two different diets and two different samples treatments: homogenized fecal matter from subjects eating vegan diets, stored and submitted in either lyophilized (RGTM 10162) or aqueous form (RGTM 10171); secondly, homogenized fecal matter from subjects eating omnivore diets, stored and submitted in either lyophilized (RGTM 10172) or aqueous form (RGTM 10173). We used four untargeted metabolomics assays (lipidomics, primary metabolites, biogenic amines and polyphenols) and one targeted assay on bile acids.
DOI: 10.26050/wdcc/ar6.c6cmimrme0
title: IPCC DDC: MRI MRI-ESM2.0 model output prepared for CMIP6 C4MIP

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.C4MIP.MRI.MRI-ESM2-0' 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 MRI-ESM2.0 climate model, released in 2017, includes the following components: aerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4. The model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmimrme0hb
title: IPCC DDC: MRI MRI-ESM2.0 model output prepared for CMIP6 C4MIP hist-bgc

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.C4MIP.MRI.MRI-ESM2-0.hist-bgc' 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 MRI-ESM2.0 climate model, released in 2017, includes the following components: aerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4. The model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5517/ccdc.csd.cc2fh2mn
title: CCDC 2248821: Experimental Crystal Structure Determination

description: Related Article: Kazuhiro Uemura, Hiroyasu Shimofusa|2023|Polyhedron|243|116513|doi:10.1016/j.poly.2023.116513
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.cc2fh2np
title: CCDC 2248822: Experimental Crystal Structure Determination

description: Related Article: Kazuhiro Uemura, Hiroyasu Shimofusa|2023|Polyhedron|243|116513|doi:10.1016/j.poly.2023.116513
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.cc2fl6py
title: CCDC 2251830: Experimental Crystal Structure Determination

description: Related Article: Tomislav Balić, Marta Počkaj, Zora Popović|2023|Polyhedron|243|116518|doi:10.1016/j.poly.2023.116518
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.cc2glgj2
title: CCDC 2281864: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, J. Bould|2023|CSD Communication|||
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.cc2glgk3
title: CCDC 2281865: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, J. Bould|2023|CSD Communication|||
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.cc2glgl4
title: CCDC 2281866: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, J. Bould, R.D. Kennedy|2023|CSD Communication|||
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.