cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bvv35
title: CCDC 2170747: Experimental Crystal Structure Determination

description: Related Article: Nina Podjed, Barbara Modec|2022|New J.Chem.|46|23225|doi:10.1039/D2NJ04668G
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.cc2bx21d
title: CCDC 2171923: Experimental Crystal Structure Determination

description: Related Article: Nicholas A. Maciulis, Eman Wasim, Fereshteh Rezvani, Maren Pink, George E. Sterbinsky, Kenneth G. Caulton, Steven L. Tait|2022|Cat.Sci.Tech.|12|7349|doi:10.1039/D2CY01017H
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.cc2bxwdk
title: CCDC 2172709: Experimental Crystal Structure Determination

description: Related Article: Liangming Xuan, Ruyang Du, Panpan Lei, Wei Zhao, Lixiang Tan, Chuanzhi Ni, Haifeng Wang, Qiongjiao Yan, Wei Wang, Fener Chen|2022|Green Chemistry|24|9475|doi:10.1039/D2GC02874C
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.cc2c193v
title: CCDC 2175986: Experimental Crystal Structure Determination

description: Related Article: Sifeng Li, Taimin Wang, Xingchen Li, Lijing Fang, Hongbin Zhai, Bin Cheng|2022|Green Chemistry|24|9482|doi:10.1039/D2GC03464F
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.cc2c5nx4
title: CCDC 2180196: Experimental Crystal Structure Determination

description: Related Article: Rofin Mangali, Sengodagounder Muthusamy|2022|New J.Chem.|46|23173|doi:10.1039/D2NJ04964C
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.cc2cf3zx
title: CCDC 2187359: Experimental Crystal Structure Determination

description: Related Article: Dennis Verspeek, Sebastian Ahrens, Anke Spannenberg, Xiaodong Wen, Yong Yang, Yong-Wang Li, Kathrin Junge, Matthias Beller|2022|Cat.Sci.Tech.|12|7341|doi:10.1039/D2CY01472F
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.cc2cf40z
title: CCDC 2187360: Experimental Crystal Structure Determination

description: Related Article: Dennis Verspeek, Sebastian Ahrens, Anke Spannenberg, Xiaodong Wen, Yong Yang, Yong-Wang Li, Kathrin Junge, Matthias Beller|2022|Cat.Sci.Tech.|12|7341|doi:10.1039/D2CY01472F
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.cc2bgkjx
title: CCDC 2158949: Experimental Crystal Structure Determination

description: Related Article: Nan Wu, Zhang Li, Yuejiao Jia, Dechao Li, Ming Hu|2022|CrystEngComm|24|8434|doi:10.1039/D2CE01417C
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.cc2cm3w0
title: CCDC 2193122: Experimental Crystal Structure Determination

description: Related Article: Rafael Stieler, Paulo Henrique Schneider, Thiago Jacobsen Peglow|2022|CSD Communication|||
description: Related Article: Thiago J. Peglow, Carolina C. Martins, Ketlyn P. da Motta, Cristiane Luchese, Ethel A. Wilhelm, Rafael Stieler, Paulo H. Schneider|2022|New J.Chem.|46|23030|doi:10.1039/D2NJ04370J
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: 10.15784/601626
title: Flow cytometry enumeration of virus-like and bacteria-like abundance in Ace, Deep, & Organic lakes (Antarctica)

description: Varying depth samples from Ace, Deep, & Organic Lake were obtained between 2013-2014. These samples were size fractionated by filtration for metagenomic analyses. Viral and bacterial abundances were determine on the filtrate fractions by flow cytometric analysis. Glutaraldehyde-fixed samples were stained with SYBR Green I fluorescence dye and virus-like particle (VLP) and bacteria-like cell (BLC) populations were discriminated based on green fluorescence and side scatter flow cytometry signals. Several distinct VLP and BLC populations where enumerated from Ace Lake and Organic Lake samples that revealed temporal and depth differences. Discrete VLP and BLC populations could not be discerned from Deep Lake samples. These files include the original flow cytometry particle counts (raw data), the gating templates used to count VLP and BLC populations (analysis_templates), and the resulting particle counts (analyzed).
DOI: 10.21223/bmwfx2/7kiiru
title: 01_data_advanced_trial_LBHTC2_SanRamon2021.tab

description: :unav
DOI: 10.21223/bmwfx2/clg0zx
title: 02_DataDictionary_LBHT_Advanced_SRamon2021.tab

description: :unav
DOI: 10.5287/bodleian:d5drdgxee
title: Exceptionally-clean electronic transport in molecular graphene nanoribbons with enhanced solubility
DOI: 10.5281/zenodo.6965081
title: Arbitrary-shape dielectric particles interacting in the linearized Poisson-Boltzmann framework: an analytical treatment

description: h_kmlsn.mat -- the coefficients h<sub>kmls,n</sub> calculated for n_max&lt;=50: one has h<sub>kmls,n</sub> = h<sub>kmlsn</sub>(k+1,m+1,l+1,s+1,n+1), where h<sub>kmlsn</sub> is a 5D array contained in h_kmlsn.mat (note that MATLAB indices must start from 1, while mathematically indices k, m, l, s, and n are &gt;=0). b_nml_approx.m -- it approximates $b_{nml}(\tilde r,\tilde R)$ with a given parameter n_max; derivative_b_nml_approx.m -- it approximates the derivative of $b_{nml}(\tilde r,\tilde R)$ with respect to $\tilde r$ with a given parameter n_max; linear_system_two_bodies_direct_backslash.m -- a simple example of forming the global linear system (14) and solving it directly (without regularization) using the MATLAB "mldivide" (or backslash) operation GSK3beta.zip -- zipped directory with DelPhi files related to Sec. 5.1.3 (see ReadmeGSK3beta.txt); Arginine-Glutamate -- zipped directory with DelPhi files related to Sec. 5.1.4 (see ReadmeARGGlu.txt)
DOI: 10.5281/zenodo.6965082
title: Arbitrary-shape dielectric particles interacting in the linearized Poisson-Boltzmann framework: an analytical treatment

description: h_kmlsn.mat -- the coefficients h<sub>kmls,n</sub> calculated for n_max&lt;=50: one has h<sub>kmls,n</sub> = h<sub>kmlsn</sub>(k+1,m+1,l+1,s+1,n+1), where h<sub>kmlsn</sub> is a 5D array contained in h_kmlsn.mat (note that MATLAB indices must start from 1, while mathematically indices k, m, l, s, and n are &gt;=0).
DOI: 10.5281/zenodo.7429188
title: Arbitrary-shape dielectric particles interacting in the linearized Poisson-Boltzmann framework: an analytical treatment

description: h_kmlsn.mat -- the coefficients h<sub>kmls,n</sub> calculated for n_max&lt;=50: one has h<sub>kmls,n</sub> = h<sub>kmlsn</sub>(k+1,m+1,l+1,s+1,n+1), where h<sub>kmlsn</sub> is a 5D array contained in h_kmlsn.mat (note that MATLAB indices must start from 1, while mathematically indices k, m, l, s, and n are &gt;=0). b_nml_approx.m -- it approximates $b_{nml}(\tilde r,\tilde R)$ with a given parameter n_max; derivative_b_nml_approx.m -- it approximates the derivative of $b_{nml}(\tilde r,\tilde R)$ with respect to $\tilde r$ with a given parameter n_max; linear_system_two_bodies_direct_backslash.m -- a simple example of forming the global linear system (14) and solving it directly (without regularization) using the MATLAB "mldivide" (or backslash) operation GSK3beta.zip -- zipped directory with DelPhi files related to Sec. 5.1.3 (see ReadmeGSK3beta.txt); Arginine-Glutamate -- zipped directory with DelPhi files related to Sec. 5.1.4 (see ReadmeARGGlu.txt)
DOI: 10.6084/m9.figshare.21639770
title: Impact of the paradigm shift in corporate social responsibility from voluntary to mandatory on corporate financial performance

description: To get a complete picture of CSR disclosure in the form of statements within the aforementioned four dimensions, a thorough CSR disclosure checklist is created. Each statement's disclosing value is divided into three categories: quantitative disclosure, qualitative disclosure, and non-disclosure. The current investigation was conducted over a period of three years, from 2014 to 2016. This time frame was selected because the Companies Act underwent a significant modification in 2013 to require businesses to fulfil their social responsibility obligations. A sample of 81 firms listed on the Indian Bombay Stock Exchange is chosen for the study.
DOI: 10.6084/m9.figshare.21639770.v1
title: Impact of the paradigm shift in corporate social responsibility from voluntary to mandatory on corporate financial performance

description: To get a complete picture of CSR disclosure in the form of statements within the aforementioned four dimensions, a thorough CSR disclosure checklist is created. Each statement's disclosing value is divided into three categories: quantitative disclosure, qualitative disclosure, and non-disclosure. The current investigation was conducted over a period of three years, from 2014 to 2016. This time frame was selected because the Companies Act underwent a significant modification in 2013 to require businesses to fulfil their social responsibility obligations. A sample of 81 firms listed on the Indian Bombay Stock Exchange is chosen for the study.
DOI: 10.6084/m9.figshare.21545848
title: The first case of monkeypox in Hong Kong presenting as infectious mononucleosis-like syndrome

description: The first case of monkeypox in Hong Kong presenting as infectious mononucleosis-like syndrome
DOI: 10.6084/m9.figshare.21545848.v2
title: The first case of monkeypox in Hong Kong presenting as infectious mononucleosis-like syndrome

description: The first case of monkeypox in Hong Kong presenting as infectious mononucleosis-like syndrome
DOI: 10.6084/m9.figshare.21702600
title: The Dresden Surgical Anatomy Dataset for abdominal organ segmentation in surgical data science

description: The Dresden Surgical Anatomy Dataset provides semantic segmentations of eight abdominal organs (colon, liver, pancreas, small intestine, spleen, stomach, ureter, vesicular glands), the abdominal wall and two vessel structures (inferior mesenteric artery, intestinal veins) in laparoscopic view. In total, this dataset comprises 13195 laparoscopic images with pixel-wise segmentations as well as categorical annotations of organ presence. The dataset can be used for various purposes in the field of surgical data science including abdominal organ segmentation and computer vision-based intraoperative decision support.
DOI: 10.5281/zenodo.7429677
title: RELD

description: RELD: Knowledge Graph of Relation Extraction Datasets A combination of seven relation extraction datasets in one unified serialization RDF. To know details of the whole project, please refer to the homepage: https://manzoorali29.github.io/index.html
DOI: 10.5281/zenodo.7429676
title: RELD

description: RELD: Knowledge Graph of Relation Extraction Datasets A combination of seven relation extraction datasets in one unified serialization RDF. To know details of the whole project, please refer to the homepage: https://manzoorali29.github.io/index.html
DOI: 10.5281/zenodo.7429679
title: Genome graphs detect human polymorphisms in active epigenomic states during influenza infection: validation

description: Sanger sequencing and qPCR validation data for "Genome graphs detect human polymorphisms in active epigenomic states during influenza infection" manuscript.
DOI: 10.5281/zenodo.7429678
title: Genome graphs detect human polymorphisms in active epigenomic states during influenza infection: validation

description: Sanger sequencing and qPCR validation data for "Genome graphs detect human polymorphisms in active epigenomic states during influenza infection" manuscript.
DOI: 10.5281/zenodo.7406518
title: High Urban NOx Triggers a Substantial Chemical Downward Flux of Ozone

description: These data and code correspond to the manuscript referenced above.
DOI: 10.5281/zenodo.7406517
title: High Urban NOx Triggers a Substantial Chemical Downward Flux of Ozone

description: These data and code correspond to the manuscript referenced above.
DOI: 10.17909/j4tb-bk98
title: HST data from "A High Precision Survey of the D/H Ratio in the Nearby Interstellar Medium"

description: This is the HST/STIS data using the G140M and E140H gratings.
DOI: 10.3886/icpsr38464.v3
title: Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019
title: Version 3

description: This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. The collection includes diverse MRI modalities and protocols. The infarct core was manually defined in the diffusion weighted images; the images are provided in native subject space and in standard space (MNI), in Neuroimaging Informatics Technology Initiative (NIfTI) format. The data format and organization follows Brain Imaging Data Structure (BIDS) guidelines. The collection includes diverse metadata, comprised of demographic information, basic clinical profile (NIH Stroke Scale/Score (NIHSS), hospitalization duration, blood pressure at admission, BMI, and associated health conditions), and expert description of the acute lesion. This resource provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor, such as lesion segmentation, labeling, calculation of disease-relevant scores, and lesion-based studies relating function to frequency lesion maps. The dataset is divided in folders with 60-70 subjects. Each folder contains the "raw data" (multimodal MRIs, in native space), "DWI-mask" (manually-defined lesion masks, brain masks, and 3D DWI, b0, and recalculated ADC), "DWI-MNI-IntensityNormalized" (DWI and lesion masks in MNI coordinates), and "phenotype" (individual ".tsv" files with metadata of each subject). The "templates" folder contains images averages and lesion frequency maps. The "documentation" contains comprehensive data documentation, the phenotypes of the whole dataset, and the data dictionary.
description: The purpose of the study was to provide high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor, such as lesion segmentation, labeling, calculation of disease-relevant scores, and lesion-based studies relating function to frequency lesion maps.
description: Datasets: DS1: Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019
description: record abstractsIndividuals from non-member institutions can access these data for a fee. To obtain access, please contact ICPSR for additional details at ICPSR-help@umich.edu.In addition to the ICPSR citation, users are asked to cite the upcoming publication in which these data are described. Please use the following citation: Liu CF, Leigh R, Johnson B, Urrutia V, Hsu J, Xu X, Xu Li, Mori S, Hillis A, Faria AV. A large dataset of annotated clinical MRIs and linked metadata of patients with acute stroke. Preprint https://doi.org/10.21203/rs.3.rs-1705779/v1.
DOI: 10.3886/icpsr38464.v4
title: Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019
title: Version 4

description: This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. The collection includes diverse MRI modalities and protocols. The infarct core was manually defined in the diffusion weighted images; the images are provided in native subject space and in standard space (MNI), in Neuroimaging Informatics Technology Initiative (NIfTI) format. The data format and organization follows Brain Imaging Data Structure (BIDS) guidelines. The collection includes diverse metadata, comprised of demographic information, basic clinical profile (NIH Stroke Scale/Score (NIHSS), hospitalization duration, blood pressure at admission, BMI, and associated health conditions), and expert description of the acute lesion. This resource provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor, such as lesion segmentation, labeling, calculation of disease-relevant scores, and lesion-based studies relating function to frequency lesion maps. The dataset is divided in folders with 60-70 subjects. Each folder contains the "raw data" (multimodal MRIs, in native space), "DWI-mask" (manually-defined lesion masks, brain masks, and 3D DWI, b0, and recalculated ADC), "DWI-MNI-IntensityNormalized" (DWI and lesion masks in MNI coordinates), and "phenotype" (individual ".tsv" files with metadata of each subject). The "templates" folder contains images averages and lesion frequency maps. The "documentation" contains comprehensive data documentation, the phenotypes of the whole dataset, and the data dictionary.
description: The purpose of the study was to provide high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor, such as lesion segmentation, labeling, calculation of disease-relevant scores, and lesion-based studies relating function to frequency lesion maps.
description: Datasets: DS1: Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019
description: record abstractsIndividuals from non-member institutions can access these data for a fee. To obtain access, please contact ICPSR for additional details at ICPSR-help@umich.edu.In addition to the ICPSR citation, users are asked to cite the upcoming publication in which these data are described. Please use the following citation: Liu CF, Leigh R, Johnson B, Urrutia V, Hsu J, Xu X, Xu Li, Mori S, Hillis A, Faria AV. A large dataset of annotated clinical MRIs and linked metadata of patients with acute stroke. Preprint https://doi.org/10.21203/rs.3.rs-1705779/v1.
DOI: 10.3886/icpsr38464.v1
title: Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019
title: Version 1

description: This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. The collection includes diverse MRI modalities and protocols. The infarct core was manually defined in the diffusion weighted images; the images are provided in native subject space and in standard space (MNI), in Neuroimaging Informatics Technology Initiative (NIfTI) format. The data format and organization follows Brain Imaging Data Structure (BIDS) guidelines. The collection includes diverse metadata, comprised of demographic information, basic clinical profile (NIH Stroke Scale/Score (NIHSS), hospitalization duration, blood pressure at admission, BMI, and associated health conditions), and expert description of the acute lesion. This resource provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor, such as lesion segmentation, labeling, calculation of disease-relevant scores, and lesion-based studies relating function to frequency lesion maps.
description: The purpose of the study was to provide high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor, such as lesion segmentation, labeling, calculation of disease-relevant scores, and lesion-based studies relating function to frequency lesion maps.
description: Datasets: DS1: Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019
description: record abstractsThere is no dataset file for this fast release. The data will be released separately as an update when it is available.