cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c250n
title: CCDC 2176820: Experimental Crystal Structure Determination

description: Related Article: Ruđer Sušanj, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2022|Cryst.Growth Des.|22|5135|doi:10.1021/acs.cgd.2c00665
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.cc2c251p
title: CCDC 2176821: Experimental Crystal Structure Determination

description: Related Article: Ruđer Sušanj, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2022|Cryst.Growth Des.|22|5135|doi:10.1021/acs.cgd.2c00665
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.cc2c252q
title: CCDC 2176822: Experimental Crystal Structure Determination

description: Related Article: Ruđer Sušanj, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2022|Cryst.Growth Des.|22|5135|doi:10.1021/acs.cgd.2c00665
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.cc2c253r
title: CCDC 2176823: Experimental Crystal Structure Determination

description: Related Article: Ruđer Sušanj, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2022|Cryst.Growth Des.|22|5135|doi:10.1021/acs.cgd.2c00665
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.cc2c254s
title: CCDC 2176824: Experimental Crystal Structure Determination

description: Related Article: Ruđer Sušanj, Vinko Nemec, Nikola Bedeković, Dominik Cinčić|2022|Cryst.Growth Des.|22|5135|doi:10.1021/acs.cgd.2c00665
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.cc2c7xsb
title: CCDC 2182362: Experimental Crystal Structure Determination

description: Related Article: Yaoguo Shen, Bo Chen, Hao Chen, Junhua Luo|2022|Inorg.Chem.|61|14242|doi:10.1021/acs.inorgchem.2c02380
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.21129947
title: Additional file 1 of The portrayal of animal interactions in nature documentaries by David Attenborough and Bernhard Grzimek

description: Additional file 1. Spreadsheet with all the interactions in documentaries by Attenborough and Grzimek.
DOI: 10.6084/m9.figshare.21129947.v1
title: Additional file 1 of The portrayal of animal interactions in nature documentaries by David Attenborough and Bernhard Grzimek

description: Additional file 1. Spreadsheet with all the interactions in documentaries by Attenborough and Grzimek.
DOI: 10.6084/m9.figshare.21129949
title: Additional file 3 of The portrayal of animal interactions in nature documentaries by David Attenborough and Bernhard Grzimek

description: Additional file 3. Statistical analyses in R environment.
DOI: 10.6084/m9.figshare.21129949.v1
title: Additional file 3 of The portrayal of animal interactions in nature documentaries by David Attenborough and Bernhard Grzimek

description: Additional file 3. Statistical analyses in R environment.
DOI: 10.6084/m9.figshare.21129950
title: Additional file 4 of The portrayal of animal interactions in nature documentaries by David Attenborough and Bernhard Grzimek

description: Additional file 4. Spreadsheet with summary of movie, name, interaction, presenter, and time in documentaries by Attenborough and Grzimek.
DOI: 10.6084/m9.figshare.21129950.v1
title: Additional file 4 of The portrayal of animal interactions in nature documentaries by David Attenborough and Bernhard Grzimek

description: Additional file 4. Spreadsheet with summary of movie, name, interaction, presenter, and time in documentaries by Attenborough and Grzimek.
DOI: 10.6084/m9.figshare.21129957
title: Additional file 2 of Machine learning for identification of silylated derivatives from mass spectra

description: Additional file 2. Environmental relevance evaluation of the selected compounds according to the RPMBT system.
DOI: 10.6084/m9.figshare.21129957.v1
title: Additional file 2 of Machine learning for identification of silylated derivatives from mass spectra

description: Additional file 2. Environmental relevance evaluation of the selected compounds according to the RPMBT system.
DOI: 10.6084/m9.figshare.21129959
title: Additional file 4 of Machine learning for identification of silylated derivatives from mass spectra

description: Additional file 4. Chemical structures, IUPAC names, common names and abbreviations, CAS numbers and molecular weights of the CECs and their TMS derivatives from the test dataset.
DOI: 10.6084/m9.figshare.21129959.v1
title: Additional file 4 of Machine learning for identification of silylated derivatives from mass spectra

description: Additional file 4. Chemical structures, IUPAC names, common names and abbreviations, CAS numbers and molecular weights of the CECs and their TMS derivatives from the test dataset.
DOI: 10.6084/m9.figshare.21129967
title: Additional file 1 of What evidence exists on conceptual differences in climate change perceptions of smallholders? A systematic map protocol

description: Additional file 1. ROSES checklist of systematic map protocol.
DOI: 10.6084/m9.figshare.21129967.v1
title: Additional file 1 of What evidence exists on conceptual differences in climate change perceptions of smallholders? A systematic map protocol

description: Additional file 1. ROSES checklist of systematic map protocol.
DOI: 10.6084/m9.figshare.21129969
title: Additional file 3 of What evidence exists on conceptual differences in climate change perceptions of smallholders? A systematic map protocol

description: Additional file 3. List of the 95 articles used to assess the comprehensiveness of the search string.
DOI: 10.6084/m9.figshare.21129969.v1
title: Additional file 3 of What evidence exists on conceptual differences in climate change perceptions of smallholders? A systematic map protocol

description: Additional file 3. List of the 95 articles used to assess the comprehensiveness of the search string.
DOI: 10.6084/m9.figshare.21129985
title: Additional file 1 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 1: Table S1 The designed primers for qRT-PCR.
DOI: 10.6084/m9.figshare.21129985.v1
title: Additional file 1 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 1: Table S1 The designed primers for qRT-PCR.
DOI: 10.6084/m9.figshare.21129986
title: Additional file 2 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 2: Table S2 The taxonomic statistics of male aphid.
DOI: 10.6084/m9.figshare.21129986.v1
title: Additional file 2 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 2: Table S2 The taxonomic statistics of male aphid.
DOI: 10.6084/m9.figshare.21129987
title: Additional file 3 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 3: Table S3 The statistics of developmental period and morphological data of male aphid.
DOI: 10.6084/m9.figshare.21129987.v1
title: Additional file 3 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 3: Table S3 The statistics of developmental period and morphological data of male aphid.
DOI: 10.6084/m9.figshare.21129988
title: Additional file 4 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 4: Table S4 Summary statistics of RNA-seq results in developing A. gossypii.
DOI: 10.6084/m9.figshare.21129988.v1
title: Additional file 4 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 4: Table S4 Summary statistics of RNA-seq results in developing A. gossypii.
DOI: 10.6084/m9.figshare.21129989
title: Additional file 5 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 5: Table S5 Gene clusters and enriched pathways.
DOI: 10.6084/m9.figshare.21129989.v1
title: Additional file 5 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 5: Table S5 Gene clusters and enriched pathways.
DOI: 10.6084/m9.figshare.21129990
title: Additional file 6 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 6: Table S6 Enriched KEGG pathways in comparison between different developmental stages.
DOI: 10.6084/m9.figshare.21129990.v1
title: Additional file 6 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 6: Table S6 Enriched KEGG pathways in comparison between different developmental stages.
DOI: 10.6084/m9.figshare.21129991
title: Additional file 7 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 7: Table S7 Gene information statistics of different modules of WGCNA cluster.
DOI: 10.6084/m9.figshare.21129991.v1
title: Additional file 7 of Comparative transcriptional analysis and identification of hub genes associated with wing differentiation of male in Aphis gossypii

description: Additional file 7: Table S7 Gene information statistics of different modules of WGCNA cluster.
DOI: 10.21227/v0pr-tj54
title: Data_Revised Tunable Q-factor wavelet transform for EEG-based epileptic seizure detection

description: This is a code to correlate and process a dataset of epilepsy EEG signals。
DOI: 10.6084/m9.figshare.21130044
title: Additional file 2 of BMP and activin membrane-bound inhibitor regulate connective tissue growth factor controlling mesothelioma cell proliferation

description: Additional file 2: Table S3.
DOI: 10.6084/m9.figshare.21130044.v1
title: Additional file 2 of BMP and activin membrane-bound inhibitor regulate connective tissue growth factor controlling mesothelioma cell proliferation

description: Additional file 2: Table S3.
DOI: 10.6084/m9.figshare.21130053
title: Additional file 2 of Design and validation of recombinant protein standards for quantitative Western blot analysis of cannabinoid CB1 receptor density in cell membranes: an alternative to radioligand binding methods

description: Additional file2: zip-compressed files of [i] theoretical sequences corresponding to pGEX-6P1 plasmids with DNA constructs inserted downstream the GST gene for the inducible expression of GST fusion proteins GST-CB1414-472 and GST-CB1414-442 and [ii] results of sequencing
DOI: 10.6084/m9.figshare.21130053.v1
title: Additional file 2 of Design and validation of recombinant protein standards for quantitative Western blot analysis of cannabinoid CB1 receptor density in cell membranes: an alternative to radioligand binding methods

description: Additional file2: zip-compressed files of [i] theoretical sequences corresponding to pGEX-6P1 plasmids with DNA constructs inserted downstream the GST gene for the inducible expression of GST fusion proteins GST-CB1414-472 and GST-CB1414-442 and [ii] results of sequencing
DOI: 10.6084/m9.figshare.21130068.v1
title: Additional file 1 of Clinical, metabolic, and immunological characterisation of adult Ugandan patients with new-onset diabetes and low vitamin D status

description: Additional file 1. Vitamin D study dataset.
DOI: 10.6084/m9.figshare.21130068
title: Additional file 1 of Clinical, metabolic, and immunological characterisation of adult Ugandan patients with new-onset diabetes and low vitamin D status

description: Additional file 1. Vitamin D study dataset.
DOI: 10.6084/m9.figshare.21130077
title: Additional file 3 of The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

description: Additional file 3: Detailed summary of the included papers (Excel)
DOI: 10.6084/m9.figshare.21130077.v1
title: Additional file 3 of The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

description: Additional file 3: Detailed summary of the included papers (Excel)
DOI: 10.6084/m9.figshare.21130080
title: Additional file 6 of The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

description: Additional file 6:Generating Sunburst Plot - ML Applications
DOI: 10.6084/m9.figshare.21130080.v1
title: Additional file 6 of The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

description: Additional file 6:Generating Sunburst Plot - ML Applications
DOI: 10.6084/m9.figshare.21130081
title: Additional file 7 of The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

description: Additional file 7: Generating Sunburst Plot - ML Methods
DOI: 10.6084/m9.figshare.21130081.v1
title: Additional file 7 of The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

description: Additional file 7: Generating Sunburst Plot - ML Methods
DOI: 10.6084/m9.figshare.21130084
title: Additional file 3 of Molecular characteristics of fluoroquinolone-resistant Escherichia coli isolated from suckling piglets with colibacillosis

description: Additional file 3: Table S2. History of samples and isolates separated from each sample.
DOI: 10.6084/m9.figshare.21130084.v1
title: Additional file 3 of Molecular characteristics of fluoroquinolone-resistant Escherichia coli isolated from suckling piglets with colibacillosis

description: Additional file 3: Table S2. History of samples and isolates separated from each sample.
DOI: 10.5281/zenodo.5592323
title: Multimodal Identity Preserved Tracking (MIPT) Dataset

description: Human behavioral analysis applications in the fields of ambient assisted living (AAL) and human security monitoring require continuous video analysis of individuals. Although intelligent systems deployed in these areas are intended to have a positive impact on the persons involved, subsequent continuous monitoring naturally raises ethical concerns and questions about privacy implications. To address these issues, we present a foundation for identity-preserving 3D human behavior analysis. The dataset is large, at a total of ~85k annotated frames. To reduce privacy intrusion, it consists entirely of spatio-temporally aligned depth and thermal sequences. Annotation is provided as 3D bounding boxes, along with pose labels and consistent person IDs for use in tracking. The dataset is designed to be flexible. Data representation in either image view or point clouds and the option for projected 2D bounding boxes, allows use in a variety of 2D or 3D tasks. Target applications of our work are privacy-sensitive domains that currently require continuous monitoring using RGB-based systems, including ambient assisted living tasks (e.g., motion rehabilitation, fall detection, vital sign detection) and human security monitoring applications, such as construction safety, critical care and correctional facility monitoring. This database may be used for non-commercial research purpose only. If you publish material based on this database, we request that you include a reference to our paper [1]. [1] T. Heitzinger and M. Kampel “<em>A Foundation for 3D Human Behavior Detection in Privacy-Sensitive Domains</em>”,<br> in <em>32</em><em>nd</em><em> British Machine Vision Conference (BMVC)</em>, 2021
DOI: 10.5281/zenodo.5585011
title: Multimodal Identity Preserved Tracking (MIPT) Dataset

description: Human behavioral analysis applications in the fields of ambient assisted living (AAL) and human security monitoring require continuous video analysis of individuals. Although intelligent systems deployed in these areas are intended to have a positive impact on the persons involved, subsequent continuous monitoring naturally raises ethical concerns and questions about privacy implications. To address these issues, we present a foundation for identity-preserving 3D human behavior analysis. The dataset is large, at a total of ~85k annotated frames. To reduce privacy intrusion, it consists entirely of spatio-temporally aligned depth and thermal sequences. Annotation is provided as 3D bounding boxes, along with pose labels and consistent person IDs for use in tracking. The dataset is designed to be flexible. Data representation in either image view or point clouds and the option for projected 2D bounding boxes, allows use in a variety of 2D or 3D tasks. Target applications of our work are privacy-sensitive domains that currently require continuous monitoring using RGB-based systems, including ambient assisted living tasks (e.g., motion rehabilitation, fall detection, vital sign detection) and human security monitoring applications, such as construction safety, critical care and correctional facility monitoring. This database may be used for non-commercial research purpose only. If you publish material based on this database, we request that you include a reference to our paper [1]. [1] T. Heitzinger and M. Kampel “<em>A Foundation for 3D Human Behavior Detection in Privacy-Sensitive Domains</em>”,<br> in <em>32</em><em>nd</em><em> British Machine Vision Conference (BMVC)</em>, 2021
DOI: 10.15151/esrf-es-899019168
title: Structure determination of the inactive conformation of the vasopressin V2 receptor

description: The conformational flexibility of G protein-coupled receptors (GPCRs) is a prerequisite to sense a variety of stimuli and link them to different signaling partners. Such high plasticity to interact with an important range of signaling partners, representing a challenge for structure determination. Our research interest is to understand the structural basis of the vasopressin V2 receptor (V2R) signal transduction and their allosteric modulation. Our group already solved the V2R active structures in complex with either G proteins or arrestin. We are now working on solving the inactive state of the V2R in complex with an antagonist, the mambaquaretin-1. The last is a toxin that fully inactivate the V2R signaling. By comparing the active and inactive structures at high-resolution, we will decipher the different conformational changes leading to various signal transduction. The goal is to rationally design, on a structural basis, new selective ligands with potential therapeutic value.
DOI: 10.6084/m9.figshare.20728627
title: CNGA_neighbours

description: Multiple sequence alignments and phylogenetic analyses of neighbouring gene families of vertebrate CNGA sequences. <br> The alignments were done using ClustalO and the phylogenetic analyses were done using IQ-Tree.
DOI: 10.6084/m9.figshare.20728627.v1
title: CNGA_neighbours

description: Multiple sequence alignments and phylogenetic analyses of neighbouring gene families of vertebrate CNGA sequences. <br> The alignments were done using ClustalO and the phylogenetic analyses were done using IQ-Tree.
DOI: 10.6084/m9.figshare.20728621
title: CNGB_actinopterygian_tree

description: Multiple sequence alignment and phylogenetic analysis of actinopterygian CNGB sequences. <br> The alignment was done using ClustalO and the phylogenetic analysis was done using IQ-Tree.
DOI: 10.6084/m9.figshare.20728630.v1
title: CNGB_neighbours

description: Multiple sequence alignments and phylogenetic analyses of neighvouring gene families of vertebrate CNGB sequences. <br> The alignments were done using ClustalO and the phylogenetic analyses were done using IQ-Tree.
DOI: 10.6084/m9.figshare.20728633
title: CNGA_actinopterygian_tree

description: Multiple sequence alignment and phylogenetic analysis of actinopterygian CNGB sequences. <br> The alignment was done using ClustalO and the phylogenetic analysis was done using IQ-Tree.
DOI: 10.6084/m9.figshare.20728633.v1
title: CNGA_actinopterygian_tree

description: Multiple sequence alignment and phylogenetic analysis of actinopterygian CNGB sequences. <br> The alignment was done using ClustalO and the phylogenetic analysis was done using IQ-Tree.
DOI: 10.6084/m9.figshare.20728717
title: CNGB_full_tree

description: Multiple sequence alignment and phylogenetic analysis of metazoan CNGB sequences. The alignment was trimmed until the “NLMY” motif in human CNGB1 and after the “GTPK” motif in the same sequence. <br> The alignment was done using ClustalO and the phylogenetic analysis was done using IQ-Tree.
DOI: 10.6084/m9.figshare.20728717.v1
title: CNGB_full_tree

description: Multiple sequence alignment and phylogenetic analysis of metazoan CNGB sequences. The alignment was trimmed until the “NLMY” motif in human CNGB1 and after the “GTPK” motif in the same sequence. <br> The alignment was done using ClustalO and the phylogenetic analysis was done using IQ-Tree.
DOI: 10.6084/m9.figshare.20728621.v1
title: CNGB_actinopterygian_tree

description: Multiple sequence alignment and phylogenetic analysis of actinopterygian CNGB sequences. <br> The alignment was done using ClustalO and the phylogenetic analysis was done using IQ-Tree.
DOI: 10.6084/m9.figshare.20728624
title: CNGA_full_tree

description: Multiple sequence alignment and phylogenetic analysis of metazoan CNGA sequences. The alignment was trimmed in the beginning right up to the human CNGA1 “VVID” motif and after the “EYPD” motif in the same sequence. <br> The alignment was done using ClustalO and the phylogenetic analysis was done using IQ-Tree.