cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8232720
title: Cipher Machine Enigma I (Inv. 1993-522)

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: Enigma I<br> Inv.-No. of the Deutsches Museum: 1993-522 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: 2726<br> grid size y: 2499<br> grid size z: 1239<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.8232721
title: Cipher Machine Enigma I (Inv. 1993-522)

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: Enigma I<br> Inv.-No. of the Deutsches Museum: 1993-522 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: 2726<br> grid size y: 2499<br> grid size z: 1239<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: 10.34740/kaggle/dsv/6451961
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.17028/rd.lboro.24118338
title: Supplementary information file for Long-term relatedness and income distribution: understanding the deep roots of inequality

description: Supplementary files for article Long-term relatedness and income distribution: understanding the deep roots of inequalityThis article explores the role of long-term relatedness between countries, captured by an index of genetic distance, in driving worldwide differences in income inequality. The main hypothesis is that genetic distance gives rise to barriers to the international diffusion of redistributive policies and measures, and institutions, leading to greater income disparities. Using cross-country data, I consistently find that countries that are genetically distant to Denmark—the world frontier of egalitarian income distribution—tend to suffer from higher inequality, ceteris paribus. I also demonstrate that genetic distance is associated with greater bilateral differences in income inequality between countries. Employing data from the European Social Survey, I document that second-generation Europeans descending from countries with greater genetic distance to Denmark are less likely to exhibit positive attitudes towards equality. Further evidence suggests that effective fiscal redistribution is a key mechanism through which genetic distance to Denmark transmits to greater income inequality.
DOI: 10.17028/rd.lboro.24118338.v1
title: Supplementary information file for Long-term relatedness and income distribution: understanding the deep roots of inequality

description: Supplementary files for article Long-term relatedness and income distribution: understanding the deep roots of inequalityThis article explores the role of long-term relatedness between countries, captured by an index of genetic distance, in driving worldwide differences in income inequality. The main hypothesis is that genetic distance gives rise to barriers to the international diffusion of redistributive policies and measures, and institutions, leading to greater income disparities. Using cross-country data, I consistently find that countries that are genetically distant to Denmark—the world frontier of egalitarian income distribution—tend to suffer from higher inequality, ceteris paribus. I also demonstrate that genetic distance is associated with greater bilateral differences in income inequality between countries. Employing data from the European Social Survey, I document that second-generation Europeans descending from countries with greater genetic distance to Denmark are less likely to exhibit positive attitudes towards equality. Further evidence suggests that effective fiscal redistribution is a key mechanism through which genetic distance to Denmark transmits to greater income inequality.
DOI: 10.5281/zenodo.8120991
title: Cipher Machine Wheatstone Cryptograph (Inv. 1994-99)

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: Wheatstone Cryptograph<br> Inv.-No. of the Deutsches Museum: 1994-99 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.144<br> Y pixel spacing: 0.144<br> Z pixel spacing: 0.144<br> grid size x: 991<br> grid size y: 291<br> grid size z: 934<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.8120992
title: Cipher Machine Wheatstone Cryptograph (Inv. 1994-99)

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: Wheatstone Cryptograph<br> Inv.-No. of the Deutsches Museum: 1994-99 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.144<br> Y pixel spacing: 0.144<br> Z pixel spacing: 0.144<br> grid size x: 991<br> grid size y: 291<br> grid size z: 934<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.8333150
title: A new method for runoff forecasting in ungauged areas based on the Xinanjiang model incorporating multiple spatial geographical distribution data

description: This dataset includes two parts: (1) The SHP format layer data of 256 watersheds in North America and 2 watersheds in ChinaThe SHP format layer data of 256 watersheds in North America and 2 watersheds in China. (2) A reference meta-watershed database of spatial data was established, covering a spatial database of 256 watersheds. This provides a data foundation for runoff forecasting in other ungauged watersheds.
DOI: 10.5281/zenodo.8333149
title: A new method for runoff forecasting in ungauged areas based on the Xinanjiang model incorporating multiple spatial geographical distribution data

description: This dataset includes two parts: (1) The SHP format layer data of 256 watersheds in North America and 2 watersheds in ChinaThe SHP format layer data of 256 watersheds in North America and 2 watersheds in China. (2) A reference meta-watershed database of spatial data was established, covering a spatial database of 256 watersheds. This provides a data foundation for runoff forecasting in other ungauged watersheds.
DOI: 10.5281/zenodo.8334734
title: code and data for NCBA_BosT1.0 project

description: This data represent all the code and data used to generate the figures in the NCBA_BosT1.0 project
DOI: 10.5281/zenodo.8334733
title: code and data for NCBA_BosT1.0 project

description: This data represent all the code and data used to generate the figures in the NCBA_BosT1.0 project
DOI: 10.5281/zenodo.8114341
title: An annotated compilation of chronometric dates for the Middle-Upper Palaeolithic Transition (45-30 ka BP) in northern Iberia (Spain). Source Data.

description: This repository contains the files of the chronometric dates framed between 45-30 ka BP in Northern Iberia.
DOI: 10.5281/zenodo.8334722
title: An annotated compilation of chronometric dates for the Middle-Upper Palaeolithic Transition (45-30 ka BP) in northern Iberia (Spain). Source Data.

description: This repository contains the files of the chronometric dates framed between 45-30 ka BP in Northern Iberia.
DOI: 10.5281/zenodo.8114340
title: An annotated compilation of chronometric dates for the Middle-Upper Palaeolithic Transition (45-30 ka BP) in northern Iberia (Spain). Source Data.

description: This repository contains the files of the chronometric dates framed between 45-30 ka BP in Northern Iberia.
DOI: 10.5281/zenodo.8334753
title: Lexical Database of Bororoan

description: No description provided.
DOI: 10.5281/zenodo.8334752
title: Lexical Database of Bororoan

description: No description provided.
DOI: 10.5281/zenodo.8134462
title: Cipher Machine Schlüsselgerät 41Z (Inv. 2013-1092)

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: Schlüsselgerät 41Z<br> Inv.-No. of the Deutsches Museum: 2013-1092 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: 2327<br> grid size y: 2357<br> grid size z: 2000<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.8134461
title: Cipher Machine Schlüsselgerät 41Z (Inv. 2013-1092)

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: Schlüsselgerät 41Z<br> Inv.-No. of the Deutsches Museum: 2013-1092 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: 2327<br> grid size y: 2357<br> grid size z: 2000<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.8334774
title: Petrology, Age, and Rift Origin of Ultramafic Lamprophyres (Aillikites) at Mount Webb, a New Alkaline Province in Central Australia

description: APPENDIX_A: LA-ICP-MS and EPMA analyses for pyrope garnet and Cr diopside used in study.
DOI: 10.6084/m9.figshare.22492867
title: Tree height, leaf thickness and seed size drive Caatinga plants'sensitivity to climate change

description: distrib.zip have maps of species distribution in present and future, while data have traits, area of distribution and variation for each specie
DOI: 10.6084/m9.figshare.22492867.v2
title: Tree height, leaf thickness and seed size drive Caatinga plants'sensitivity to climate change

description: distrib.zip have maps of species distribution in present and future, while data have traits, area of distribution and variation for each specie
DOI: 10.6084/m9.figshare.24118485
title: LOBOLA PAPER 2.sav

description: SPSS DATA for the Lobola 2 project
DOI: 10.6084/m9.figshare.24118485.v1
title: LOBOLA PAPER 2.sav

description: SPSS DATA for the Lobola 2 project
DOI: 10.5281/zenodo.8334806
title: Internet searches for diet, exercise, diabetes, BMI and a GLP1 analog, in the 10 most populous Muslim countries

description: We conducted an analysis of internet search trends from January 2022 to June 2023 in the ten most populous Muslim countries, focusing on keywords such as "Ozempic"TM (a popular GLP1 analog), "Diet," "Exercise," and "Diabetes." The results showed a significant increase in searches for the GLP1 analog in eight countries, while searches for "Diet" and "Exercise" were mostly declining in nine and four countries, respectively. Searches for "Diabetes" were positive in only two countries. These trends suggest a growing reliance on pharmaceutical interventions for diabetes and weight management at the expense of diet and exercise. Clinicians and healthcare workers in Muslim countries should emphasize the importance of diet and exercise for diabetic patients, even during Ramadan.
DOI: 10.5281/zenodo.8334805
title: Internet searches for diet, exercise, diabetes, BMI and a GLP1 analog, in the 10 most populous Muslim countries

description: We conducted an analysis of internet search trends from January 2022 to June 2023 in the ten most populous Muslim countries, focusing on keywords such as "Ozempic"TM (a popular GLP1 analog), "Diet," "Exercise," and "Diabetes." The results showed a significant increase in searches for the GLP1 analog in eight countries, while searches for "Diet" and "Exercise" were mostly declining in nine and four countries, respectively. Searches for "Diabetes" were positive in only two countries. These trends suggest a growing reliance on pharmaceutical interventions for diabetes and weight management at the expense of diet and exercise. Clinicians and healthcare workers in Muslim countries should emphasize the importance of diet and exercise for diabetic patients, even during Ramadan.
DOI: 10.11583/dtu.24106860
title: Longterm N2O emission data and deep learning model

description: Dataset comes from the larger data collected in Chen, X., Mielczarek, A.T., Habicht, K., Andersen, M.H., Thornberg, D. and Sin, G., 2019. Assessment of full-scale N2O emission characteristics and testing of control concepts in an activated sludge wastewater treatment plant with alternating aerobic and anoxic phases. Environmental science & technology, 53(21), pp.12485-12494.The deep learnign model is one of the models published and developed by Hwangbo, S., Al, R., Chen, X. and Sin, G., 2021. Integrated model for understanding N2O emissions from wastewater treatment plants: a deep learning approach. Environmental Science & Technology, 55(3), pp.2143-2151.
DOI: 10.5281/zenodo.7869307
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.7870305
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.7871581
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.8028126
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.8028226
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.8269433
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.8277160
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.8277190
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.8277365
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.8277376
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.7869306
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.8278514
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.
DOI: 10.5281/zenodo.8334759
title: Scigenex datasets

description: These datasets (which are subsets of larger datasets) can be dowloaded through the Scigenex R library and are used to showcase the use of available functions and classes. The <em>scigenex_example_spatial_file.R & scigenex_example_pbmc3k.R</em> provide the code that was used to create these example datasets.