cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc23pr4q
title: CCDC 1957313: Experimental Crystal Structure Determination

description: Related Article: Wenhao Zhang, Ming Lu, Lu Ren, Xiang Zhang, Shaonan Liu, Mengyu Ba, Peng Yang, Ang Li|2023|J.Am.Chem.Soc.|145|26569|doi:10.1021/jacs.3c06088
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.cc2d8p3h
title: CCDC 2212876: Experimental Crystal Structure Determination

description: Related Article: Shu-Qi Wu, Run-Zhu Fan, Fang-Yu Yuan, Wei Li, Dong Huang, Shen Li, Gui-Hua Tang, Zhi-Shu Huang, Sheng Yin|2022|Org.Lett.|24|8854|doi:10.1021/acs.orglett.2c03649
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.cc2flyww
title: CCDC 2252549: Experimental Crystal Structure Determination

description: Related Article: Tomas Pokorny, Iaroslav Doroshenko, Petr Machac, Lucie Simonikova, Miroslava Bittova, Zdenek Moravec, Katerina Karaskova, David Skoda, Jiri Pinkas, Ales Styskalik|2023|Inorg.Chem.|62|19871|doi:10.1021/acs.inorgchem.3c01678
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.cc2flyxx
title: CCDC 2252550: Experimental Crystal Structure Determination

description: Related Article: Tomas Pokorny, Iaroslav Doroshenko, Petr Machac, Lucie Simonikova, Miroslava Bittova, Zdenek Moravec, Katerina Karaskova, David Skoda, Jiri Pinkas, Ales Styskalik|2023|Inorg.Chem.|62|19871|doi:10.1021/acs.inorgchem.3c01678
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.cc2flyyy
title: CCDC 2252551: Experimental Crystal Structure Determination

description: Related Article: Tomas Pokorny, Iaroslav Doroshenko, Petr Machac, Lucie Simonikova, Miroslava Bittova, Zdenek Moravec, Katerina Karaskova, David Skoda, Jiri Pinkas, Ales Styskalik|2023|Inorg.Chem.|62|19871|doi:10.1021/acs.inorgchem.3c01678
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.cc2gpjyn
title: CCDC 2284822: Experimental Crystal Structure Determination

description: Related Article: Sundaram Suresh, Hung-Sheng Chien, Chao-Hua Chen, Hao-Yu Tsai, Dai-Ru Chung, Veerababurao Kavala, Ching-Fa Yao|2023|J.Org.Chem.|88|17505|doi:10.1021/acs.joc.3c01857
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.cc2gpjzp
title: CCDC 2284823: Experimental Crystal Structure Determination

description: Related Article: Sundaram Suresh, Hung-Sheng Chien, Chao-Hua Chen, Hao-Yu Tsai, Dai-Ru Chung, Veerababurao Kavala, Ching-Fa Yao|2023|J.Org.Chem.|88|17505|doi:10.1021/acs.joc.3c01857
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.cc2gpk0r
title: CCDC 2284824: Experimental Crystal Structure Determination

description: Related Article: Sundaram Suresh, Hung-Sheng Chien, Chao-Hua Chen, Hao-Yu Tsai, Dai-Ru Chung, Veerababurao Kavala, Ching-Fa Yao|2023|J.Org.Chem.|88|17505|doi:10.1021/acs.joc.3c01857
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.cc2grnzw
title: CCDC 2286869: Experimental Crystal Structure Determination

description: Related Article: D.M. Nirosh Udayanga, Nghia Le, Elijah N. Schwirian, Bruno Donnadieu, Kye Nash, Willard Collier, Charles Edwin Webster, Xin Cui|2023|Org.Lett.|25|8745|doi:10.1021/acs.orglett.3c03757
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: 10.6084/m9.figshare.24867507
title: <b>Supplementary Material – </b><b>Flora and Phytophysiognomies of an Atlantic Forest remnant </b><b>on the coast of Southeast Brazil</b>

description: <b>Table S1 – </b><b>Floristic list of the Brisas Environmental Protection Area</b>
DOI: 10.5281/zenodo.10120280
title: Supporting Data for "Local exposure misclassification in national models: relationships with urban infrastructure and demographics"

description: Overview: This dataset accompanies the recent publication "Local exposure misclassification in national models: relationships with urban infrastructure and demographics" (DOI: 10.1038/s41370-023-00624-z). It provides essential data for replicating and extending the analysis conducted in the study. The script for the analysis is available at https://github.com/SEChambliss-AQ/LD-analysis. The dataset consists of four key files.

Files Included:





Gridded OSM and GSV Data (gridded_OSM_GSV.RDS):



This R object offers a 100mx100m grid covering select neighborhoods in the San Francisco Bay Area.

Each grid cell includes average air pollution levels (Ultrafine Particle Count in thousand count per cubic meter; Nitrogen Dioxide in ppb) from mobile monitoring.

The file also provides normalized z-scores of local density of urban infrastructure related to air pollutants based on OpenStreetMap (OSM) data.

Further details can be found in the associated publication.





BartMachine Outputs (bartMachine R objects.zip):



A collection of R object outputs from the bartMachine package, an R-Java Bayesian Additive Regression Trees implementation.

These objects, which can be regenerated using the provided script, are included to reduce computational requirements for future analyses.

The script for generating these outputs is available at the above GitHub Repository.





NO2 Predictions (CACES_criteria.csv):



Land Use Regression (LUR) data for Nitrogen Dioxide, provided by the Center for Air, Climate, and Energy Solutions.

Methodologies for integrating these data with the gridded dataset are described in the publication and script.





UFP Predictions (CACES_UFP.csv):



Similar to the NO2 dataset, this file contains LUR data for Ultrafine Particle predictions.

Methods for data integration are detailed in the publication and available script.




Usage: These files are intended for researchers and analysts aiming to replicate or build upon the study's findings. They provide a source of data for exploring the complex interplay between air pollution, urban infrastructure, and demographic factors in urban environments. For detailed methodology and analysis, refer to the original publication and the accompanying GitHub repository.
DOI: 10.5281/zenodo.10120281
title: Supporting Data for "Local exposure misclassification in national models: relationships with urban infrastructure and demographics"

description: Overview: This dataset accompanies the recent publication "Local exposure misclassification in national models: relationships with urban infrastructure and demographics" (DOI: 10.1038/s41370-023-00624-z). It provides essential data for replicating and extending the analysis conducted in the study. The script for the analysis is available at https://github.com/SEChambliss-AQ/LD-analysis. The dataset consists of four key files.

Files Included:





Gridded OSM and GSV Data (gridded_OSM_GSV.RDS):



This R object offers a 100mx100m grid covering select neighborhoods in the San Francisco Bay Area.

Each grid cell includes average air pollution levels (Ultrafine Particle Count in thousand count per cubic meter; Nitrogen Dioxide in ppb) from mobile monitoring.

The file also provides normalized z-scores of local density of urban infrastructure related to air pollutants based on OpenStreetMap (OSM) data.

Further details can be found in the associated publication.





BartMachine Outputs (bartMachine R objects.zip):



A collection of R object outputs from the bartMachine package, an R-Java Bayesian Additive Regression Trees implementation.

These objects, which can be regenerated using the provided script, are included to reduce computational requirements for future analyses.

The script for generating these outputs is available at the above GitHub Repository.





NO2 Predictions (CACES_criteria.csv):



Land Use Regression (LUR) data for Nitrogen Dioxide, provided by the Center for Air, Climate, and Energy Solutions.

Methodologies for integrating these data with the gridded dataset are described in the publication and script.





UFP Predictions (CACES_UFP.csv):



Similar to the NO2 dataset, this file contains LUR data for Ultrafine Particle predictions.

Methods for data integration are detailed in the publication and available script.




Usage: These files are intended for researchers and analysts aiming to replicate or build upon the study's findings. They provide a source of data for exploring the complex interplay between air pollution, urban infrastructure, and demographic factors in urban environments. For detailed methodology and analysis, refer to the original publication and the accompanying GitHub repository.
DOI: 10.5281/zenodo.10425810
title: dataset- Tuberculosis detection using Squid Game Optimization with Deep Learning Model on Chest X-Ray Images
DOI: 10.5281/zenodo.10425811
title: dataset- Tuberculosis detection using Squid Game Optimization with Deep Learning Model on Chest X-Ray Images
DOI: 10.5281/zenodo.10225785
title: Data and Code associated to the paper "Quantum simulation of the tricritical Ising model in tunable Josephson junction ladders"

description: Modern hybrid superconductor-semiconductor Josephson junction arrays are a promising platform for analog quantum simulations. Their controllable and non-sinusoidal energy/phase relation opens the path to implement nontrivial interactions and study the emergence of exotic quantum phase transitions. Here, we propose the analysis of an array of hybrid Josephson junctions defining a 2-leg ladder geometry for the quantum simulation of the tricritical Ising phase transition. This transition provides the paradigmatic example of minimal conformal models beyond Ising criticality and its excitations are intimately related with Fibonacci non-Abelian anyons and topological order in two dimensions. We study this superconducting system and its thermodynamic phases based on bosonization and matrix-product-states techniques. Its effective continuous description in terms of a three-frequency sine-Gordon quantum field theory suggests the presence of the targeted tricritical point and the numerical simulations confirm this picture. Our results indicate which experimental observables can be adopted in realistic devices to probe the physics and the phase transitions of the model. Additionally, our proposal provides a useful one-dimensional building block to design exotic topological order in two-dimensional scalable Josephson junction arrays.
description: This dataset includes all measurements from the VUMPS and DMRG simulations necessary to reproduce the figures presented in the main publication. It also contains the files used for produceing the figures. In addition, we include all Julia files to reproduce the results of the publication. This includes a modified version of the ITensorInfiniteMPS.jl package, auxiliary files for controlling the simulations and the files starting the simulation itself. A detailed describition and how to start the simulation is given in the README.md file.

The obtained wavefunction's are not part of this dataset, since they exceed the allowed 50Gb. In case of interest, please contact the authors to gain access.
DOI: 10.15784/601759
title: EPICA Dome C Sulfate Data 7-3190m

description: Volcanic deposition of sulfuric acid in ice cores is important both for understanding past volcanic activity and for synchronizing ice core timescales. Sulfuric acid has a low eutectic point, so it can potentially exist in liquid at grain boundaries and veins, accelerating chemical diffusion. A high effective diffusivity would allow post-depositional diffusion to obscure the climate history and the peak matching among older portions of ice cores. Here, we use records of sulfate from the EPICA Dome C (EDC) ice core to estimate the effective diffusivity of sulfuric acid in ice. We focus on EDC because multiple glacial-interglacial cycles are preserved, allowing analysis for long timescales and deposition in similar climates. We calculate the mean concentration gradient and the width of prominent volcanic events, and analyze the evolution of each with depth/age. We find the effective diffusivities for interglacials and glacial maximums to be 5 ± 3 × 10-9 m2 a-1, an order of magnitude lower than a previous estimate derived from the Holocene portion of EDC (Barnes et al., 2003). The effective diffusivity may be even smaller if the bias from artificial smoothing from the sampling is accounted for. Effective diffusivity is not obviously affected by the ice temperature until about -10°C, 3000m depth, which is also where anomalous sulfate peaks begin to be observed (Traversi et al., 2009). Low effective diffusivity suggests that sulfuric acid is not readily diffusing in liquid-like veins in the upper portions of the Antarctic ice sheet and that records may be preserved in deep, old ice if the ice temperature remains well below the pressure melting point.
DOI: 10.17909/19mj-5h97
title: GJ 1214 White Light Phase Curve
DOI: 10.48527/zp5qze/cjarsb
title: 4_Videografia.tab

description: :unav
DOI: 10.48527/zp5qze/fpoldz
title: README_Videografia_PT.txt

description: :unav
DOI: 10.48527/zp5qze/f60qpa
title: README_Videography_ENG.txt

description: :unav
DOI: 10.48527/zp5qze
title: Videografia

description: Registos áudio e vídeo resultantes de gravação de entrevistas e de pesquisa de arquivo.
DOI: 10.48527/19tv70/oh3vlw
title: 5_Fonografia.tab

description: :unav
DOI: 10.48527/19tv70/tcaohs
title: README_Phonography_ENG.txt

description: :unav
DOI: 10.48527/19tv70/0lexnn
title: README_Fonografia_PT.txt

description: :unav
DOI: 10.48527/19tv70
title: Fonografia

description: Registos áudio resultantes de gravação de entrevistas e de pesquisa de arquivo.
DOI: 10.5281/zenodo.10425900
title: Data and Code for "Why are generalists the 'winners' of habitat loss? Unveiling the process underlying specialist-generalist replacements in fragmented landscapes"

description: Data and R-based workflow for the study "Why are generalists the ‘winners’ of habitat loss? Unveiling the process underlying specialist-generalist replacements in fragmented landscapes".
DOI: 10.3886/e196043
title: Replication files for "Monopsony Power during the Great Depression"

description: Replication files for "Monopsony Power during the Great Depression"
DOI: 10.3886/e149461
title: Replication files for "Estimates of Employment Gains Attributable to Beer Legalization in the Spring of 1933"

description: Replication files for "Estimates of employment gains
attributable to beer legalization in spring 1933," in Explorations in Economic History (2021).
description: States in the USA. .
DOI: 10.3886/e149461v1
title: Replication files for "Estimates of Employment Gains Attributable to Beer Legalization in the Spring of 1933"

description: Replication files for "Estimates of employment gains attributable to beer legalization in spring 1933," in Explorations in Economic History (2021).
description: States in the USA. .
DOI: 10.3886/e149461v2
title: Replication files for "Estimates of Employment Gains Attributable to Beer Legalization in the Spring of 1933"

description: Replication files for "Estimates of employment gains
attributable to beer legalization in spring 1933," in Explorations in Economic History (2021).
description: States in the USA. .
DOI: 10.5281/zenodo.10425935
title: Données poster dichromatisme fluorescence huile de pépins de courge
DOI: 10.5281/zenodo.10425936
title: Données poster dichromatisme fluorescence huile de pépins de courge
DOI: 10.6084/m9.figshare.24894798
title: B Cell single-cell atlas

description: This B Cell atlas is an integration of 13 single-cell studies of cells obtained from 8 tumor types and normal tissues, including breast, colorectal, ovary, lung, liver, skin, uvea and PBMC. Four types of samples compose this dataset (normal, tumor, lymph node, and blood) obtained from 3 different types of single-cell technologies (10x, Smart-seq2, and inDrop). The subset of breast cancer, subjected to deconvolution, is also included.
DOI: 10.6084/m9.figshare.24894798.v1
title: B Cell single-cell atlas

description: This B Cell atlas is an integration of 13 single-cell studies of cells obtained from 8 tumor types and normal tissues, including breast, colorectal, ovary, lung, liver, skin, uvea and PBMC. Four types of samples compose this dataset (normal, tumor, lymph node, and blood) obtained from 3 different types of single-cell technologies (10x, Smart-seq2, and inDrop). The subset of breast cancer, subjected to deconvolution, is also included.
DOI: 10.34740/kaggle/dsv/7262991
title: Balochi Language to English Translation Dataset
DOI: 10.20383/101.0279
title: Fog Droplet Microphysics Tuktoyaktuk, NWT 2018

description: This file contains a summary of fog droplet number concentrations, microphysical parameters, and auxiliary instrument parameters corresponding to the sampling of fog events at Tuktoyaktuk, NWT. Fog droplets were measured using a FM-120 Fog Monitor (Droplet Measurement Technologies) during July-September 2018. This instrument measures droplets with diameters ranging from 2 to 50 μm and was mounted on the roof of the Aurora College Community Learning Centre. The data shown in this file is presented as five minute averages in Coordinated Universal Time (UTC).
DOI: 10.5517/ccdc.csd.cc2cphwg
title: CCDC 2195416: Experimental Crystal Structure Determination

description: Related Article: Pandiaraj Sekar, Punitharaj Vasanthakumar, Ramasamy Shanmugam, Shanmugam Senthil Kumar, Stefano Agnoli, Rajasekharan Jayakumari Deepak, Karthik Murugan, Nattamai Bhuvanesh, Ramasamy Karvembu|2022|Green Chemistry|24|9233|doi:10.1039/D2GC02939A
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.cc2frdcz
title: CCDC 2256811: Experimental Crystal Structure Determination

description: Related Article: Chunyu Yang, Bing Yan|2023|Inorg.Chem.|62|20458|doi:10.1021/acs.inorgchem.3c03478
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.cc2gh9q0
title: CCDC 2278832: Experimental Crystal Structure Determination

description: Related Article: Vakhid A. Mamedov, Liliya V. Mustakimova, Zheng-Wang Qu, Hui Zhu, Victor V. Syakaev, Venera R. Galimullina, Leisan R. Shamsutdinova, Il’dar Kh. Rizvanov, Aidar T. Gubaidullin, Oleg G. Sinyashin, Stefan Grimme|2023|J.Org.Chem.|88|16864|doi:10.1021/acs.joc.3c01626
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.cc2gh9r1
title: CCDC 2278833: Experimental Crystal Structure Determination

description: Related Article: Vakhid A. Mamedov, Liliya V. Mustakimova, Zheng-Wang Qu, Hui Zhu, Victor V. Syakaev, Venera R. Galimullina, Leisan R. Shamsutdinova, Il’dar Kh. Rizvanov, Aidar T. Gubaidullin, Oleg G. Sinyashin, Stefan Grimme|2023|J.Org.Chem.|88|16864|doi:10.1021/acs.joc.3c01626
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.cc2gh9s2
title: CCDC 2278834: Experimental Crystal Structure Determination

description: Related Article: Vakhid A. Mamedov, Liliya V. Mustakimova, Zheng-Wang Qu, Hui Zhu, Victor V. Syakaev, Venera R. Galimullina, Leisan R. Shamsutdinova, Il’dar Kh. Rizvanov, Aidar T. Gubaidullin, Oleg G. Sinyashin, Stefan Grimme|2023|J.Org.Chem.|88|16864|doi:10.1021/acs.joc.3c01626
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.