cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6790302
title: DeepBSP_Dataset

description: This is the docking dataset used to build the DeepBSP model. The "Pose" folder<br> contains the structure files. The receptor (Rec.pdb) and the native ligand pose<br> (Lig_native.pdb) pdb files of each complex are stored in the corresponding<br> sub-folder named with the PDB ID of the complex. The ligand poses docked with<br> Autodock Vina of each complex are stored in those pdb files named "Lig_*.pdb".<br> These pdb files are converted from the pdbqt format of Autodock Vina with all<br> nonpolar hydrogens already deleted and can be used to calculate the voxel<br> descriptor by our element voxel calculator. The RMSD of each Vina docked ligand<br> pose with reference to its native binding pose is recorded in those files named<br> "LigDockRMSD_*.dat" in the "RMSD" folder. The score of each docked pose reported<br> by Vina during docking is recorded in those files named "LigVinaScore_*.dat" in<br> the "Score" folder. Please note that for the same ligand pose, there may be<br> small difference between the score reported by Vina during docking and the score<br> reported during rescoring with Vina "scoreonly" method. The complex PDB IDs of<br> the training and the test set of our DeepBSP model are stored in the files named<br> "PDB_TrainSet.dat" and "PDB_TestSet.dat" in the "Index" folder, respectively.<br> The PDB IDs, pose names, and the RMSD values of the poses used in our primary<br> test set are recorded in the "LigPose_TestSet.dat" file, while the corresponding<br> data of our five training subsets are recorded in those "LigPose_TrainSet_*.dat"<br> files. The poses named "Lig_0" in these data files mean the native ligand<br> binding poses of the corresponding complexes. The source code and the parameters<br> of the DeepBSP model and the element voxel calculator are available at<br> https://github.com/BaoJingxiao/DeepBSP.
DOI: 10.5281/zenodo.4610158
title: DeepBSP_Dataset

description: This is the docking dataset used to build the DeepBSP model. The "Pose" folder<br> contains the structure files. The receptor (Rec.pdb) and the native ligand pose<br> (Lig_native.pdb) pdb files of each complex are stored in the corresponding<br> sub-folder named with the PDB ID of the complex. The ligand poses docked with<br> Autodock Vina of each complex are stored in those pdb files named "Lig_*.pdb".<br> These pdb files are converted from the pdbqt format of Autodock Vina with all<br> nonpolar hydrogens already deleted and can be used to calculate the voxel<br> descriptor by our element voxel calculator. The RMSD of each Vina docked ligand<br> pose with reference to its native binding pose is recorded in those files named<br> "LigDockRMSD_*.dat" in the "RMSD" folder. The score of each docked pose reported<br> by Vina during docking is recorded in those files named "LigVinaScore_*.dat" in<br> the "Score" folder. Please note that for the same ligand pose, there may be<br> small difference between the score reported by Vina during docking and the score<br> reported during rescoring with Vina "scoreonly" method. The complex PDB IDs of<br> the training and the test set of our DeepBSP model are stored in the files named<br> "PDB_TrainSet.dat" and "PDB_TestSet.dat" in the "Index" folder, respectively.<br> The PDB IDs, pose names, and the RMSD values of the poses used in our primary<br> test set are recorded in the "LigPose_TestSet.dat" file, while the corresponding<br> data of our five training subsets are recorded in those "LigPose_TrainSet_*.dat"<br> files. The poses named "Lig_0" in these data files mean the native ligand<br> binding poses of the corresponding complexes. The source code and the parameters<br> of the DeepBSP model and the element voxel calculator are available at<br> https://github.com/BaoJingxiao/DeepBSP.
DOI: 10.5281/zenodo.4610159
title: DeepBSP_Dataset

description: This is the docking dataset used to build the DeepBSP model. The "Pose" folder<br> contains the structure files. The receptor (Rec.pdb) and the native ligand pose<br> (Lig_native.pdb) pdb files of each complex are stored in the corresponding<br> sub-folder named with the PDB ID of the complex. The ligand poses docked with<br> Autodock Vina of each complex are stored in those pdb files named "Lig_*.pdb".<br> These pdb files are converted from the pdbqt format of Autodock Vina with all<br> nonpolar hydrogens already deleted and can be used to calculate the voxel<br> descriptor by our element voxel calculator. The RMSD of each Vina docked ligand<br> pose with reference to its native binding pose is recorded in those files named<br> "LigDockRMSD_*.dat" in the "RMSD" folder. The complex PDB IDs of the training<br> and the test set of our DeepBSP model are stored in the files named<br> "PDB_TrainSet.dat" and "PDB_TestSet.dat" in the "Index" folder, respectively.<br> The PDB IDs, pose names, and the RMSD values of the poses used in our primary<br> test set are recorded in the "LigPose_TestSet.dat" file, while the corresponding<br> data of our five training subsets are recorded in those "LigPose_TrainSet_*.dat"<br> files. The poses named "Lig_0" in these data files mean the native ligand<br> binding poses of the corresponding complexes. The source code and the parameters<br> of the DeepBSP model and the element voxel calculator are available at<br> https://github.com/BaoJingxiao/DeepBSP. Please see our 1.1 version (https://doi.org/10.5281/zenodo.6790302) for the<br> scores of docked poses reported by Vina during docking.
DOI: 10.34740/kaggle/dsv/3892431
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.25934/pr00003130.6
title: Available IPD datapackage for study 'Randomized Clinical Trial Comparing Low Power (50W) Holmium Laser Enucleation of the Prostate (HoLEP) Versus High Power (100W) HoLEP'

description: HoLEP (Holmium laser enucleation of the prostate) entails dissection of the whole median and lateral prostatic lobes off the surgical capsule via a retrograde approach starting at the apex. The enucleated lobes were pushed to the bladder followed by hemostasis of the prostate bed then intravesical morcellation of the enucleated adenoma. The investigators are going to compare safety and efficacy of low power; LP-HoLEP vs. high power; HP-HoLEP in treatment of infra-vesical obstruction secondary to BPH (Benign prostate Hyperplasia).
DOI: 10.25934/pr00008176
title: Stan IVP on 7/2

description: q
DOI: 10.5517/ccdc.csd.cc2b9m5g
title: CCDC 2154195: Experimental Crystal Structure Determination

description: Related Article: Cristina González-García, Cristina García-Pascual, Rodrigo Burón, David G. Calatayud, Josefina Perles, M. Antonia Mendiola, Elena López-Torres|2022|Polyhedron|223|115945|doi:10.1016/j.poly.2022.115945
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.cc2b9m6h
title: CCDC 2154196: Experimental Crystal Structure Determination

description: Related Article: Cristina González-García, Cristina García-Pascual, Rodrigo Burón, David G. Calatayud, Josefina Perles, M. Antonia Mendiola, Elena López-Torres|2022|Polyhedron|223|115945|doi:10.1016/j.poly.2022.115945
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.6788781
title: Data from "Towards a sustainable use of shower water: Habits and explanatory factors in southern Spain"

description: One of the targets of SDG 6 is the efficient use of water resources in all sectors in order to tackle water shortages. In the home, showering is one of the main water consuming activities. How can people make a more sustainable use of shower water? To answer this question, this research analyses showering habits and explanatory factors of shower use. The study is carried out with data from 945 students of the University of Granada, Spain. Significant differences are observed in shower use during the summer and winter months: the average duration is 8.8 and 11.6 minutes, respectively, and shower frequency is greater in summer. Determinants of different shower water use include gender, ideology, pro-environmental actions, inherent values and connectedness to nature, among others. Those variables relate differently to duration and frequency of showers, according to the season, thus highlighting the importance of seasonality. The results show that there is room to achieve a more sustainable use of the shower, in terms of frequency and duration, through awareness measures that are tailored to groups that make a less sustainable use of showers. The main recommendation is that awareness campaigns should be designed on the basis of the user profile as well as the season.
description: The Readme file data-Towards_a_sustainable_use_of_shower_water_README.txt contains information about the dataset.
DOI: 10.5281/zenodo.6788780
title: Data from "Towards a sustainable use of shower water: Habits and explanatory factors in southern Spain"

description: One of the targets of SDG 6 is the efficient use of water resources in all sectors in order to tackle water shortages. In the home, showering is one of the main water consuming activities. How can people make a more sustainable use of shower water? To answer this question, this research analyses showering habits and explanatory factors of shower use. The study is carried out with data from 945 students of the University of Granada, Spain. Significant differences are observed in shower use during the summer and winter months: the average duration is 8.8 and 11.6 minutes, respectively, and shower frequency is greater in summer. Determinants of different shower water use include gender, ideology, pro-environmental actions, inherent values and connectedness to nature, among others. Those variables relate differently to duration and frequency of showers, according to the season, thus highlighting the importance of seasonality. The results show that there is room to achieve a more sustainable use of the shower, in terms of frequency and duration, through awareness measures that are tailored to groups that make a less sustainable use of showers. The main recommendation is that awareness campaigns should be designed on the basis of the user profile as well as the season.
description: The Readme file data-Towards_a_sustainable_use_of_shower_water_README.txt contains information about the dataset.
DOI: 10.6084/m9.figshare.20217623
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 47)

description: There are 17 files in this dataset. This is the 47th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20217623.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 47)

description: There are 17 files in this dataset. This is the 47th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20217629
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 48)

description: There are 17 files in this dataset. This is the 48th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20217629.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 48)

description: There are 17 files in this dataset. This is the 48th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20217638.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 49)

description: There are 17 files in this dataset. This is the 49th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20217638
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 49)

description: There are 17 files in this dataset. This is the 49th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.34740/kaggle/dsv/3892533
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.6790470
title: snow samples from Svalbard 2019

description: snow samples from the upper snow layer, sediment deposition and basic litophile elements content
DOI: 10.5281/zenodo.6790469
title: snow samples from Svalbard 2019

description: snow samples from the upper snow layer, sediment deposition and basic litophile elements content
DOI: 10.6084/m9.figshare.20217641
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 50)

description: There are 17 files in this dataset. This is the 50th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20217641.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 50)

description: There are 17 files in this dataset. This is the 50th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.