cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d01m3
title: CCDC 2204584: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, R. Govindarajan, Eugene Khaskin, Serhii Vasylevskyi, Janet Bahri, Robert R. Fayzullin, Michael C. Roy, Julia R. Khusnutdinova|2023|Chemical Science|14|7026|doi:10.1039/D3SC01861J
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.cc2f7st9
title: CCDC 2241821: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, R. Govindarajan, Eugene Khaskin, Serhii Vasylevskyi, Janet Bahri, Robert R. Fayzullin, Michael C. Roy, Julia R. Khusnutdinova|2023|Chemical Science|14|7026|doi:10.1039/D3SC01861J
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.cc2f7sn4
title: CCDC 2241816: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, R. Govindarajan, Eugene Khaskin, Serhii Vasylevskyi, Janet Bahri, Robert R. Fayzullin, Michael C. Roy, Julia R. Khusnutdinova|2023|Chemical Science|14|7026|doi:10.1039/D3SC01861J
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.cc2f7svb
title: CCDC 2241822: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, R. Govindarajan, Eugene Khaskin, Serhii Vasylevskyi, Janet Bahri, Robert R. Fayzullin, Michael C. Roy, Julia R. Khusnutdinova|2023|Chemical Science|14|7026|doi:10.1039/D3SC01861J
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.cc2f7sr7
title: CCDC 2241819: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, R. Govindarajan, Eugene Khaskin, Serhii Vasylevskyi, Janet Bahri, Robert R. Fayzullin, Michael C. Roy, Julia R. Khusnutdinova|2023|Chemical Science|14|7026|doi:10.1039/D3SC01861J
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.cc2f7swc
title: CCDC 2241823: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, R. Govindarajan, Eugene Khaskin, Serhii Vasylevskyi, Janet Bahri, Robert R. Fayzullin, Michael C. Roy, Julia R. Khusnutdinova|2023|Chemical Science|14|7026|doi:10.1039/D3SC01861J
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.cc2f7ss8
title: CCDC 2241820: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, R. Govindarajan, Eugene Khaskin, Serhii Vasylevskyi, Janet Bahri, Robert R. Fayzullin, Michael C. Roy, Julia R. Khusnutdinova|2023|Chemical Science|14|7026|doi:10.1039/D3SC01861J
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.cc2f7sp5
title: CCDC 2241817: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, R. Govindarajan, Eugene Khaskin, Serhii Vasylevskyi, Janet Bahri, Robert R. Fayzullin, Michael C. Roy, Julia R. Khusnutdinova|2023|Chemical Science|14|7026|doi:10.1039/D3SC01861J
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.cc2f7sxd
title: CCDC 2241824: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, R. Govindarajan, Eugene Khaskin, Serhii Vasylevskyi, Janet Bahri, Robert R. Fayzullin, Michael C. Roy, Julia R. Khusnutdinova|2023|Chemical Science|14|7026|doi:10.1039/D3SC01861J
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.8010780
title: Supplemental Data for Blood Pressure Heritability Study by Lee et al.

description: <strong>Data S1</strong>: Lists of top 5,000, 6,000, 7,000, 8,000, 9,000, and 10,000 expressed genes for the four BP relevant tissues and their coordinates (hg19). <strong>Data S2</strong>: MACS2 peak files in the narrowPeak format for all tissues. The coordinates are in GRCh38. <strong>Data S3</strong>: S-LDSC result files for analyses. <strong>Data S4</strong>: gkmQC results for all chromatin accessibility peak sets, including both BP relevant and BP irrelevant tissues. <strong>Data S5</strong>: Training regions (positive and negative sets) of gkm-SVM, final trained models, deltaSVM positive variants, and motif enrichment analysis results for the BP relevant tissues. <strong>Data S6:</strong> The list of genes predicted to exert BP relevant function in a specific tissue.
DOI: 10.5281/zenodo.8010781
title: Supplemental Data for Blood Pressure Heritability Study by Lee et al.

description: <strong>Data S1</strong>: Lists of top 5,000, 6,000, 7,000, 8,000, 9,000, and 10,000 expressed genes for the four BP relevant tissues and their coordinates (hg19). <strong>Data S2</strong>: MACS2 peak files in the narrowPeak format for all tissues. The coordinates are in GRCh38. <strong>Data S3</strong>: S-LDSC result files for analyses. <strong>Data S4</strong>: gkmQC results for all chromatin accessibility peak sets, including both BP relevant and BP irrelevant tissues. <strong>Data S5</strong>: Training regions (positive and negative sets) of gkm-SVM, final trained models, deltaSVM positive variants, and motif enrichment analysis results for the BP relevant tissues.
DOI: 10.5281/zenodo.8057373
title: Supplemental Data for Blood Pressure Heritability Study by Lee et al.

description: <strong>Data S1</strong>: Lists of top 5,000, 6,000, 7,000, 8,000, 9,000, and 10,000 expressed genes for the four BP relevant tissues and their coordinates (hg19). <strong>Data S2</strong>: MACS2 peak files in the narrowPeak format for all tissues. The coordinates are in GRCh38. <strong>Data S3</strong>: S-LDSC result files for analyses. <strong>Data S4</strong>: gkmQC results for all chromatin accessibility peak sets, including both BP relevant and BP irrelevant tissues. <strong>Data S5</strong>: Training regions (positive and negative sets) of gkm-SVM, final trained models, deltaSVM positive variants, and motif enrichment analysis results for the BP relevant tissues. <strong>Data S6:</strong> The list of genes predicted to exert BP relevant function in a specific tissue.
DOI: 10.5066/p9qs5v0c
title: Digital elevation model and single beam sonar data from the McKenzie River, Oregon, 2021

description: In 2021, the USGS 3D Elevation Program (3DEP) funded the collection of topo-bathymetric lidar (sometimes referred to as "green lidar") on the McKenzie River, Oregon. As part of this acquisition, lidar data were collected starting on the McKenzie River below Trail Bridge Reservoir and extending downstream roughly 125 km to its confluence with the Willamette River. Bathymetric lidar produced measurements of river bathymetry in areas of the McKenzie River channel that were generally less than 3 m in depth but did not produce measurements in deeper areas of the river. To fill the gaps in the topo-bathymetric lidar dataset (commonly referred to as "voids"), the U.S. Army Corps of Engineers funded USGS to collect boat-based sonar data and integrate the sonar and lidar data into a single digital elevation model (DEM). The datasets within this data release includes a) the final DEM of the river channel incorporating sonar and lidar data and b) underlying boat-based sonar data used to interpolate the lidar voids and c) metadata describing methods used to produce the datasets.
DOI: 10.34740/kaggle/dsv/6048569
title: Country Data
DOI: 10.5517/ccdc.csd.cc2flfvb
title: CCDC 2252052: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2flfwc
title: CCDC 2252053: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2flfxd
title: CCDC 2252054: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2flfyf
title: CCDC 2252055: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2flfzg
title: CCDC 2252056: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2flg0j
title: CCDC 2252057: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2flg1k
title: CCDC 2252058: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2flg2l
title: CCDC 2252059: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2flg3m
title: CCDC 2252060: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2flg4n
title: CCDC 2252061: Experimental Crystal Structure Determination

description: Related Article: Nicholas Lease, Kyle D. Spielvogel, Jack V. Davis, Jeremy T. Tisdale, Lisa M. Klamborowski, M. J. Cawkwell, Virginia W. Manner|2023|Chemical Science|14|7044|doi:10.1039/D3SC01627G
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.cc2fsh6y
title: CCDC 2257860: Experimental Crystal Structure Determination

description: Related Article: Charles P. Mikan, Aidan Matthews, Daniel Harris, Charlotte E. McIvor, Paul G. Waddell, Mark T. Sims, Jonathan P. Knowles|2023|Chemical Science|14|6992|doi:10.1039/D3SC02303F
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.cc2fsh7z
title: CCDC 2257861: Experimental Crystal Structure Determination

description: Related Article: Charles P. Mikan, Aidan Matthews, Daniel Harris, Charlotte E. McIvor, Paul G. Waddell, Mark T. Sims, Jonathan P. Knowles|2023|Chemical Science|14|6992|doi:10.1039/D3SC02303F
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.8092569
title: ophiocytium_majus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8092568
title: ophiocytium_majus_spades_01.fasta.gz

description: .
DOI: 10.25921/57dz-en95
title: EM710 Water Column Sonar Data Collected During H13528
DOI: 10.5281/zenodo.8069424
title: Digital Humanities Multi-Task Image Classification Dataset (DHMTIC)

description: This dataset was assembled to train a neural network to undertake a multi-task, multi-class classification challenge, as well as to facilitate parameterized image searches for research queries in the humanities. This is significant for several reasons. To illustrate, large quantities of textual and visual data can be processed more efficiently through specially trained neural networks. Additionally, parameterized image searches permit a detailed examination and analysis of visual data, enabling tasks such as identifying image copies or tracking the evolution and reuse of image motifs. The images hail from diverse research fields, including art and architecture, design, and life sciences. Each image has been classified for two tasks: media type classification and content type classification. The content type, which refers to the subject depicted in the image, is categorized into 14 classes, whereas the media type, denoting whether the image is a graphic, photograph, or drawing, is divided into 3 classes. The class distribution is skewed, with a single class housing a large number of entries and the remaining classes having fewer. For example, in the content type, the "object" class contains the bulk of the data, whereas classes like "musical notation" and "map" form the tail, each with fewer than 100 examples in the training and validation subsets. Similarly, in the media type, the "graphic" subset contains the majority of samples, with the "photography" and "drawing" subsets containing considerably fewer.
DOI: 10.5281/zenodo.8069425
title: Digital Humanities Multi-Task Image Classification Dataset (DHMTIC)

description: This dataset was assembled to train a neural network to undertake a multi-task, multi-class classification challenge, as well as to facilitate parameterized image searches for research queries in the humanities. This is significant for several reasons. To illustrate, large quantities of textual and visual data can be processed more efficiently through specially trained neural networks. Additionally, parameterized image searches permit a detailed examination and analysis of visual data, enabling tasks such as identifying image copies or tracking the evolution and reuse of image motifs. The images hail from diverse research fields, including art and architecture, design, and life sciences. Each image has been classified for two tasks: media type classification and content type classification. The content type, which refers to the subject depicted in the image, is categorized into 14 classes, whereas the media type, denoting whether the image is a graphic, photograph, or drawing, is divided into 3 classes. The class distribution is skewed, with a single class housing a large number of entries and the remaining classes having fewer. For example, in the content type, the "object" class contains the bulk of the data, whereas classes like "musical notation" and "map" form the tail, each with fewer than 100 examples in the training and validation subsets. Similarly, in the media type, the "graphic" subset contains the majority of samples, with the "photography" and "drawing" subsets containing considerably fewer.
DOI: 10.5281/zenodo.7989830
title: I-MuPPET: Interactive Multi-Pigeon Pose Estimation and Tracking (Dataset)

description: This data entry contains the annotated single pigeon data from the <strong>I-MuPPET GCPR 2022 paper</strong>. This data contains our annotated single pigeon data with RGB images and seven distinct keypoint annotations. The experiments were carried out by Hemal Naik, Máté Nagy, Fumihiro Kano and Iain D. Couzin and were approved by the Regierungspräsidium Freiburg under the permit number Az. 35-9185.81/G-19/107. Data was recorded by two Vicon Vue 2 cameras (1920x1080 pixels) at 50 Hz, four Vantage 5 and 26 Vero 2.2 sensors. The dataset was originally created during the Ph.D. thesis work of Hemal Naik. The method to reproduce the setup and dataset can be found at https://mediatum.ub.tum.de/?id=1554403. An updated version of this dataset with 4K resolution (3D-POP) is available at https://doi.org/10.17617/3.HPBBC7. The code base is available at https://github.com/alexhang212/dataset-3dpop. The users can reproduce annotations or improve them by adding more key points. Code for I-MuPPET available at https://github.com/urs-waldmann/i-muppet/.
DOI: 10.5281/zenodo.7989831
title: I-MuPPET: Interactive Multi-Pigeon Pose Estimation and Tracking (Dataset)

description: This data entry contains the annotated single pigeon data from the <strong>I-MuPPET GCPR 2022 paper</strong>. This data contains our annotated single pigeon data with RGB images and seven distinct keypoint annotations. The experiments were carried out by Hemal Naik, Máté Nagy, Fumihiro Kano and Iain D. Couzin and were approved by the Regierungspräsidium Freiburg under the permit number Az. 35-9185.81/G-19/107. Data was recorded by two Vicon Vue 2 cameras (1920x1080 pixels) at 50 Hz, four Vantage 5 and 26 Vero 2.2 sensors. The dataset was originally created during the Ph.D. thesis work of Hemal Naik. The method to reproduce the setup and dataset can be found at https://mediatum.ub.tum.de/?id=1554403. An updated version of this dataset with 4K resolution (3D-POP) is available at https://doi.org/10.17617/3.HPBBC7. The code base is available at https://github.com/alexhang212/dataset-3dpop. The users can reproduce annotations or improve them by adding more key points. Code for I-MuPPET available at https://github.com/urs-waldmann/i-muppet/.