cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bysx0
title: CCDC 2173593: Experimental Crystal Structure Determination

description: Related Article: Yitian Jiang, Miaochang Liu, Mengzhu Wang, Yunxiang Lei, Qiuping Ding, Huayue Wu, Xiaobo Huang|2022|Org.Biomol.Chem.|20|7770|doi:10.1039/D2OB01336C
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.cc2bysy1
title: CCDC 2173594: Experimental Crystal Structure Determination

description: Related Article: Yitian Jiang, Miaochang Liu, Mengzhu Wang, Yunxiang Lei, Qiuping Ding, Huayue Wu, Xiaobo Huang|2022|Org.Biomol.Chem.|20|7770|doi:10.1039/D2OB01336C
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.cc2bysz2
title: CCDC 2173595: Experimental Crystal Structure Determination

description: Related Article: Yitian Jiang, Miaochang Liu, Mengzhu Wang, Yunxiang Lei, Qiuping Ding, Huayue Wu, Xiaobo Huang|2022|Org.Biomol.Chem.|20|7770|doi:10.1039/D2OB01336C
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.cc2c0zgv
title: CCDC 2175687: Experimental Crystal Structure Determination

description: Related Article: Raúl Díaz-Torres, Theerapoom Boonprab, Silvia Gómez-Coca, Eliseo Ruiz, Guillaume Chastanet, Phimphaka Harding, David J. Harding|2022|Inorg.Chem.Front.|9|5317|doi:10.1039/D2QI01159J
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.cc2c0zhw
title: CCDC 2175688: Experimental Crystal Structure Determination

description: Related Article: Raúl Díaz-Torres, Theerapoom Boonprab, Silvia Gómez-Coca, Eliseo Ruiz, Guillaume Chastanet, Phimphaka Harding, David J. Harding|2022|Inorg.Chem.Front.|9|5317|doi:10.1039/D2QI01159J
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.cc2c0zjx
title: CCDC 2175689: Experimental Crystal Structure Determination

description: Related Article: Raúl Díaz-Torres, Theerapoom Boonprab, Silvia Gómez-Coca, Eliseo Ruiz, Guillaume Chastanet, Phimphaka Harding, David J. Harding|2022|Inorg.Chem.Front.|9|5317|doi:10.1039/D2QI01159J
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.cc2c0zky
title: CCDC 2175690: Experimental Crystal Structure Determination

description: Related Article: Raúl Díaz-Torres, Theerapoom Boonprab, Silvia Gómez-Coca, Eliseo Ruiz, Guillaume Chastanet, Phimphaka Harding, David J. Harding|2022|Inorg.Chem.Front.|9|5317|doi:10.1039/D2QI01159J
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.cc2c0zlz
title: CCDC 2175691: Experimental Crystal Structure Determination

description: Related Article: Raúl Díaz-Torres, Theerapoom Boonprab, Silvia Gómez-Coca, Eliseo Ruiz, Guillaume Chastanet, Phimphaka Harding, David J. Harding|2022|Inorg.Chem.Front.|9|5317|doi:10.1039/D2QI01159J
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.cc2c0zm0
title: CCDC 2175692: Experimental Crystal Structure Determination

description: Related Article: Raúl Díaz-Torres, Theerapoom Boonprab, Silvia Gómez-Coca, Eliseo Ruiz, Guillaume Chastanet, Phimphaka Harding, David J. Harding|2022|Inorg.Chem.Front.|9|5317|doi:10.1039/D2QI01159J
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.cc2c0zn1
title: CCDC 2175693: Experimental Crystal Structure Determination

description: Related Article: Raúl Díaz-Torres, Theerapoom Boonprab, Silvia Gómez-Coca, Eliseo Ruiz, Guillaume Chastanet, Phimphaka Harding, David J. Harding|2022|Inorg.Chem.Front.|9|5317|doi:10.1039/D2QI01159J
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.cc2c0zp2
title: CCDC 2175694: Experimental Crystal Structure Determination

description: Related Article: Raúl Díaz-Torres, Theerapoom Boonprab, Silvia Gómez-Coca, Eliseo Ruiz, Guillaume Chastanet, Phimphaka Harding, David J. Harding|2022|Inorg.Chem.Front.|9|5317|doi:10.1039/D2QI01159J
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.cc2c0zq3
title: CCDC 2175695: Experimental Crystal Structure Determination

description: Related Article: Raúl Díaz-Torres, Theerapoom Boonprab, Silvia Gómez-Coca, Eliseo Ruiz, Guillaume Chastanet, Phimphaka Harding, David J. Harding|2022|Inorg.Chem.Front.|9|5317|doi:10.1039/D2QI01159J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7189743
title: Experimental validation data for in silico OA study

description: The folder contains, ALP assay and PCR data, experimental protocols as well as scripts for plotting and analysis. This is related to the following git repository: https://github.com/Rapha-L/Experimental_validation_for_insilicoOA
description: {"references": ["https://github.com/Rapha-L/Experimental_validation_for_insilicoOA", "https://github.com/Rapha-L/Insilico_chondro"]}
DOI: 10.5281/zenodo.7189742
title: Experimental validation data for in silico OA study

description: The folder contains, ALP assay and PCR data, experimental protocols as well as scripts for plotting and analysis. This is related to the following git repository: https://github.com/Rapha-L/Experimental_validation_for_insilicoOA
description: {"references": ["https://github.com/Rapha-L/Experimental_validation_for_insilicoOA", "https://github.com/Rapha-L/Insilico_chondro"]}
DOI: 10.17037/data.00001993
title: AHHA Malawi Trial Dataset

description: The Alleviating Hidden Hunger with Agronomy (AHHA) Malawi trial sought to test the efficacy of alleviating selenium deficiency through consumption of maize flour enriched with fertilizers in a Malawi-based context. The anonymised dataset contains outcome results of the investigation.
description: Participant demographic information, morbidity outcomes and dietary information were captured through interviewer-administered questionnaires. Blood haemoglobin concentrations were measured in the field by trained Research Assistants. Serum selenium concentrations were measured by ICPMS.
DOI: 10.17037/data.00003123
title: AHHA Malawi Trial Dataset - Version 2

description: The Alleviating Hidden Hunger with Agronomy (AHHA) Malawi trial sought to test the efficacy of alleviating selenium deficiency through consumption of maize flour enriched with fertilizers in a Malawi-based context. The anonymised dataset contains outcome results of the investigation. This dataset is an update to the version published at 10.17037/DATA.00001993, containing 12 additional measurements.
description: Participant demographic information, morbidity outcomes and dietary information were captured through interviewer-administered questionnaires. Blood haemoglobin concentrations were measured in the field by trained Research Assistants. Serum selenium concentrations were measured by ICPMS.
DOI: 10.5281/zenodo.6468435
title: Water security in an uncertain future: contrasting realities from an availability-demand perspective

description: Here we provide the climate change data from the Coupled Model Intercomparison Project phase 6 (CMIP6) used in an assessment of future water security of two Brazilian basins: Guariroba River basin and Jaguari River basin responsible for supplying water to Campo Grande city and the São Paulo Metropolitan Region, respectively. The basins' hydrological response was simulated using the SWAT+ model considering three climate change scenarios from a CMIP6 multimodel ensemble: SSP2-4.5 (medium forcing), SSP3-7.0 (high forcing), and SSP5-8.5 (high forcing). The ensemble was constructed using seven General Circulation/Earth System models (variant ID r1i1p1f1 and further processed for bias correction using quantile delta mapping. The manuscript of "<em>Water security in an uncertain future: contrasting realities from an availability-demand perspective</em>" has been published in <strong>Water Resources Management</strong>, please find it here.
DOI: 10.5281/zenodo.6468434
title: Water security in an uncertain future: contrasting realities from an availability-demand perspective

description: Here we provide the climate change data from the Coupled Model Intercomparison Project phase 6 (CMIP6) used in an assessment of future water security of two Brazilian basins: Guariroba River basin and Jaguari River basin responsible for supplying water to Campo Grande city and the São Paulo Metropolitan Region, respectively. The basins' hydrological response was simulated using the SWAT+ model considering three climate change scenarios from a CMIP6 multimodel ensemble: SSP2-4.5 (medium forcing), SSP3-7.0 (high forcing), and SSP5-8.5 (high forcing). The ensemble was constructed using seven General Circulation/Earth System models (variant ID r1i1p1f1 and further processed for bias correction using quantile delta mapping. The manuscript of "<em>Water security in an uncertain future: contrasting realities from an availability-demand perspective</em>" has been published in <strong>Water Resources Management</strong>, please find it here.
DOI: 10.17909/d4w2-dz48
title: JWST NEP TDF Spoke 1
DOI: 10.21427/wgvf-be42
title: English Wikipedia Corpus Chunks
DOI: 10.5281/zenodo.7189796
title: High-resolution hard X-ray tomography and histology of a rat jaw for stem cell-mediated distraction osteogenesis

description: Histology and microtomography of a rat jaw after distraction. These datasets appear in "<em>Combining high-resolution hard X-ray tomography and histology for stem cell-mediated distraction osteogenesis</em>" Applied Sciences 12(12) (2022) 6268. Micromography (hdr/img files) has pixel size of 10.0228 µm. Histology (.tif file) has pixel size of 0.243094 µm. Slice to volume registration scripts can be found at https://github.com/grodgers1/SliceToVolume.
DOI: 10.5281/zenodo.7189795
title: High-resolution hard X-ray tomography and histology of a rat jaw for stem cell-mediated distraction osteogenesis

description: Histology and microtomography of a rat jaw after distraction. These datasets appear in "<em>Combining high-resolution hard X-ray tomography and histology for stem cell-mediated distraction osteogenesis</em>" Applied Sciences 12(12) (2022) 6268. Micromography (hdr/img files) has pixel size of 10.0228 µm. Histology (.tif file) has pixel size of 0.243094 µm. Slice to volume registration scripts can be found at https://github.com/grodgers1/SliceToVolume.
DOI: 10.21427/4z8m-ev84
title: Contextual Word Embeddings - Trained on English Wikipedia Corpora
DOI: 10.6084/m9.figshare.20043374
title: DDXPlus Dataset

description: We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. Patients in the dataset are characterized by their socio-demographic data, a pathology they are suffering from, a set of symptoms and antecedents related to this pathology, and a differential diagnosis. The symptoms and antecedents can be binary, categorical and multi-choice, with the potential of leading to more efficient and natural interactions between ASD/AD systems and patients. To the best of our knowledge, this is the first large-scale dataset that includes the differential diagnosis, and non-binary symptoms and antecedents. For more information, please check our paper.
DOI: 10.6084/m9.figshare.20043374.v13
title: DDXPlus Dataset

description: We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based AD system. Patients in the dataset are characterized by their socio-demographic data, a pathology they are suffering from, a set of symptoms and antecedents related to this pathology, and a differential diagnosis. The symptoms and antecedents can be binary, categorical and multi-choice, with the potential of leading to more efficient and natural interactions between ASD/AD systems and patients. To the best of our knowledge, this is the first large-scale dataset that includes the differential diagnosis, and non-binary symptoms and antecedents. For more information, please check our paper.
DOI: 10.6084/m9.figshare.21107269.v1
title: Supplementary Material for: Sex Disparities in the Treatment of Aortic Stenosis and Related Outcomes: An Analysis of the National Inpatient Sample

description: Introduction The impact of transcatheter aortic valve replacement (TAVR) on sex disparities has not been well established. This study sought to examine the impact of sex on outcomes following aortic valve replacement (AVR) for aortic stenosis (AS) in the era of routine TAVR. Methods We performed a cross-sectional analysis of the National Inpatient Sample (2009-18) to study AS visits for all AVR, and in-hospital outcomes as a function of sex. Survey estimation commands were used to provide national estimates. Results There were an estimated 431,344 surgical aortic valve replacement (SAVR) and 189,137 TAVR inpatient visits. Mortality was higher in women after SAVR (3.8%±0.1 vs 2.7%±0.07, p&lt;0.001) and TAVR (2.4%±0.1 vs 1.7%±0.1, p&lt;0.001) compared to men. Female patients undergoing SAVR had higher rates of permanent pacemaker (PPM) implantation, stroke, and bleeding (5.9%±0.1 vs 5%±0.1, 2.8%±0.1 vs 2.3%±0.07, and 37.8%±0.8 vs 29.8%±0.6; p&lt;0.001, respectively) but lower rates of acute kidney injury (AKI) (16.4%±0.3 vs 20.3%±0.3, p&lt;0.001). Women undergoing TAVR had higher rates of stroke and bleeding (2.4%±0.1 vs 1.6%±0.09 and 28.7%±0.6 vs 22%±0.5; p&lt;0.001 respectively) but lower rates of PPM and AKI (9.5%±0.3 vs 10.7%±0.2 and 11.3%±0.3 vs 13.4%±0.3; p&lt;0.001, respectively). Compared with isolated SAVR, isolated TAVR was associated with lower mortality in women during 2016-18, both after multivariable adjustment (OR = 0.40, 95% CI 0.27-0.60) and propensity matching (mean difference 0.66%±0.2), however there was no difference in men. Conclusion Although women continue to have higher in-hospital mortality following both TAVR and SAVR as compared to men, TAVR is associated with a lower in-hospital mortality in women compared to SAVR. Thus, TAVR may represent a potential intervention to narrow the sex-based disparities in the management of AS.
DOI: 10.6084/m9.figshare.21316602
title: Multi-instance Subprocess Datasets

description: Multi-instance Subprocess Datasets
DOI: 10.6084/m9.figshare.21316602.v2
title: Multi-instance Subprocess Datasets

description: Multi-instance Subprocess Datasets
DOI: 10.6084/m9.figshare.21316602.v1
title: Multi-instance Subprocess Datasets

description: Multi-instance Subprocess Datasets
DOI: 10.6084/m9.figshare.21317769
title: Phenotypic variation_Matricaria discoidea_Plant Ecology

description: Datasets used in the study
DOI: 10.6084/m9.figshare.21317769.v1
title: Phenotypic variation_Matricaria discoidea_Plant Ecology

description: Datasets used in the study
DOI: 10.5281/zenodo.7185219
title: J1/CH J1/LM MD Traj

description: J1/CH J1/LM MD Traj With AMBER topology file and NetCDF trajectories.
DOI: 10.5281/zenodo.7185218
title: J1/CH J1/LM MD Traj

description: J1/CH J1/LM MD Traj With AMBER topology file and NetCDF trajectories.
DOI: 10.34740/kaggle/dsv/4317987
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7188796
title: Astur Apple image Dataset

description: Struture of file: 2022-v2-9classes-AsturApple-Balanced-SIZE224-train-dev-test.hdf5<br> -------------------------------------------------------------------------------------------<br> This file contains dataset of 6108 cider apple color images, 224x224 pixels to support the article "Transfer learning with convolutional neural networks<br> for classification of cider apple varieties" results. -The images belong to nine apple classes: 'BLANQUINA' 'CARRIO' 'FLORINA' 'FUENTES' 'PRIETA' 'RAXAO' 'REINETA ENCARNADA' 'REINETA PINTA' 'REINETA ROJA DEL CANADA'<br> -Full dataset is split in 4886 images for training, 611 for testing and 611 for validation.<br> -Class labels are codified as one-hot enconding binary labels. (e.g. [0 0 0 0 0 1 0] ---&gt; Reineta Pinta)<br> -Training image set are store as tensor "trainX": (4168,224,224,3)<br> -Training class labels "trainY": (4886,7)<br> -Test image set tensor "testX": (611, 224,224,3)<br> -Test image binary class labels "testY": (611, 7)<br> -Validation image set tensor "devX": (611, 224,224,3)<br> -Validation binary class labels "devY": (611, 7) * file was created with h5py module in Python.
DOI: 10.5281/zenodo.7188795
title: Astur Apple image Dataset

description: Struture of file: 2022-v2-9classes-AsturApple-Balanced-SIZE224-train-dev-test.hdf5<br> -------------------------------------------------------------------------------------------<br> This file contains dataset of 6108 cider apple color images, 224x224 pixels to support the article "Transfer learning with convolutional neural networks<br> for classification of cider apple varieties" results. -The images belong to nine apple classes: 'BLANQUINA' 'CARRIO' 'FLORINA' 'FUENTES' 'PRIETA' 'RAXAO' 'REINETA ENCARNADA' 'REINETA PINTA' 'REINETA ROJA DEL CANADA'<br> -Full dataset is split in 4886 images for training, 611 for testing and 611 for validation.<br> -Class labels are codified as one-hot enconding binary labels. (e.g. [0 0 0 0 0 1 0] ---&gt; Reineta Pinta)<br> -Training image set are store as tensor "trainX": (4168,224,224,3)<br> -Training class labels "trainY": (4886,7)<br> -Test image set tensor "testX": (611, 224,224,3)<br> -Test image binary class labels "testY": (611, 7)<br> -Validation image set tensor "devX": (611, 224,224,3)<br> -Validation binary class labels "devY": (611, 7) * file was created with h5py module in Python.
DOI: 10.34740/kaggle/dsv/4318012
title: Elon Musk Tweets
DOI: 10.25625/w4tkkc/9xuu6u
title: Supplementary Table 16_DEG_SimMau_PPN.tab

description: :unav
DOI: 10.25625/w4tkkc/enxyx9
title: Supplementary Table 17_DEG_SimMau_Ocelli.tab

description: :unav
DOI: 10.25625/w4tkkc/gl2kpj
title: Supplementary Table 13_DEG_MelMau_PPN.tab

description: :unav
DOI: 10.25625/w4tkkc/5gkgj7
title: Supplementary Table 15_DEG_SimMau_MF.tab

description: :unav
DOI: 10.25625/w4tkkc/sjsea4
title: Supplementary Table 12_DEG_MelMau_MF.tab

description: :unav
DOI: 10.25625/w4tkkc/jrscmd
title: Supplementary Table 14_DEG_SimMau_PhR.tab

description: :unav
DOI: 10.25625/w4tkkc/2zsoi0
title: Supplementary Table 18_SCENIC_RSS.tab

description: :unav
DOI: 10.25625/w4tkkc/xxvwi6
title: Supplementary Table 11_DEG_MelMau_PhR.tab

description: :unav
DOI: 10.25625/w4tkkc
title: Supplementary_Tables_11_to_18

description: Contains Supplementary Tables 11 to 18
DOI: 10.25625/izolwh/wxupe0
title: Supplementary Table 7_VariableGenes_GO.tab

description: :unav
DOI: 10.25625/izolwh/uclk8i
title: Supplementary Table 4_cluster_marker_genes_nuclei.tab

description: :unav
DOI: 10.25625/izolwh/ubfuv6
title: Supplementary Table 9_CellCycleMarkers.txt

description: :unav
DOI: 10.25625/izolwh/pm47ud
title: Supplementary Table 5_GO_BP_nuclei.tab

description: :unav
DOI: 10.25625/izolwh/na9pkm
title: Supplementary Table 8_Marker_ScoreMatrix.tab

description: :unav
DOI: 10.25625/izolwh/hdqxdu
title: Supplementary Table 2_cluster_marker_genes_cells.tab

description: :unav
DOI: 10.25625/izolwh/qofuxx
title: Supplementary Table 6_VariableGenes_CellsNuclei.tab

description: :unav
DOI: 10.25625/izolwh/cwq364
title: Supplementary Table 10_ReadCounts_Diffs_Mel120h_Bulk_Nuclei.txt

description: :unav
DOI: 10.25625/izolwh/6jy4t8
title: Supplementary Table 3_GO_BP_cells.tab

description: :unav
DOI: 10.25625/izolwh
title: Supplementary_Tables_2_to_10

description: Contains Supplementary Tables 2 to 10
DOI: 10.21427/vtgv-5a40
title: Using Satellite Images Datasets for Road Intersection Detection in Route Planning