cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d9912
title: CCDC 2213463: Experimental Crystal Structure Determination

description: Related Article: Mina Sadeghian, David Gómez de Segura, Mohsen Golbon Haghighi, Nasser Safari, Elena Lalinde, M. Teresa Moreno|2023|Inorg.Chem.|62|1513|doi:10.1021/acs.inorgchem.2c03668
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.cc2d9923
title: CCDC 2213464: Experimental Crystal Structure Determination

description: Related Article: Mina Sadeghian, David Gómez de Segura, Mohsen Golbon Haghighi, Nasser Safari, Elena Lalinde, M. Teresa Moreno|2023|Inorg.Chem.|62|1513|doi:10.1021/acs.inorgchem.2c03668
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.cc2d9934
title: CCDC 2213465: Experimental Crystal Structure Determination

description: Related Article: Mina Sadeghian, David Gómez de Segura, Mohsen Golbon Haghighi, Nasser Safari, Elena Lalinde, M. Teresa Moreno|2023|Inorg.Chem.|62|1513|doi:10.1021/acs.inorgchem.2c03668
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.cc2d9945
title: CCDC 2213466: Experimental Crystal Structure Determination

description: Related Article: Mina Sadeghian, David Gómez de Segura, Mohsen Golbon Haghighi, Nasser Safari, Elena Lalinde, M. Teresa Moreno|2023|Inorg.Chem.|62|1513|doi:10.1021/acs.inorgchem.2c03668
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.cc2d9cjm
title: CCDC 2213540: Experimental Crystal Structure Determination

description: Related Article: Johannes E. Erchinger, Reece Hoogesteger, Ranjini Laskar, Subhabrata Dutta, Carla Hümpel, Debanjan Rana, Constantin G. Daniliuc, Frank Glorius|2023|J.Am.Chem.Soc.|145|2364|doi:10.1021/jacs.2c11295
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.cc2d9ckn
title: CCDC 2213541: Experimental Crystal Structure Determination

description: Related Article: Johannes E. Erchinger, Reece Hoogesteger, Ranjini Laskar, Subhabrata Dutta, Carla Hümpel, Debanjan Rana, Constantin G. Daniliuc, Frank Glorius|2023|J.Am.Chem.Soc.|145|2364|doi:10.1021/jacs.2c11295
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.cc2d9cps
title: CCDC 2213545: Experimental Crystal Structure Determination

description: Related Article: Johannes E. Erchinger, Reece Hoogesteger, Ranjini Laskar, Subhabrata Dutta, Carla Hümpel, Debanjan Rana, Constantin G. Daniliuc, Frank Glorius|2023|J.Am.Chem.Soc.|145|2364|doi:10.1021/jacs.2c11295
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.cc2d9t4p
title: CCDC 2213962: Experimental Crystal Structure Determination

description: Related Article: Susanne Margot Rupf, Amina Leoni Moshtaha, Moritz Malischewski|2023|Chemical Science|14|1132|doi:10.1039/D2SC06151A
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: 10.15473/1908928
title: 20 Year Daily Average Modeled Velocity and Discharge for Openwater Season at Five Communities on Kuskokwim River, Alaska

description: This dataset includes modeled velocity and discharge at five communities in the middle Kuskokwim River region: Aniak, Chuathbaluk, Crooked Creek, Red Devil and Stony River. Modeled velocities and discharge represent daily averages calculated for the openwater season (OWS) from June 1 - October 18 over the 20 year period 2000-2019 using the raw data described below and included in this archive; full details of methodology are described in (Brown et al. submitted to Renewable Energy). Raw data inputs to inform the modeling process include in-situ measurements of 1) discharge with an acoustic Doppler current meter (ADCP, 600kHz Workhorse Rio Grande by Teledyne RD Instruments) and a global positioning receiver (GPS, Trimble 5700, 5800 and R8) utilizing Real Time Kinematic (RTK) GPS mode over 1-2 days at each site in 2009 or 2010 (Ravens 2014), and 2) river stage with a water level logger (HOBO U20-001-01 by Onset) over 2-9 weeks at each site (Ravens 2014), 3) in addition to a 20 year long-term discharge record collected at the USGS stream gage site in Crooked Creek (USGS 2016). Raw data (discharge and stage) are included in this archive for two additional communities: Lower Kalskag and Sleetmute, where modeled velocities were not calculated due to equipment failure or loss. The USGS stream gage data at Crooked Creek (USGS 2016) and stream gage methodology (Turnipseed and Sauer 2010) are publicly available online, so the data are not duplicated here.
DOI: 10.21227/tsbn-4e62
title: Work Presentation of RF-EH WSN

description: This video shows the working process of RF-EH WSN and the maximum energy collection distance (14m).
DOI: 10.25584/1923005
title: PNNL Superfund Research Program Analytics (srpAnalytics Data Release v.1.0)

description: The OSU/PNNL superfund Research Program represents a longstanding collaboration to quantify Polycyclic Aromatic Hydrocarbons at various superfund sites in the Pacific Northwest and assess their potential impact on human health. To link the chemical measurements to biological activity, we describe the use of the zebrafish as a high-throughput developmental model of human exposure that provides quantitative measurements of the biological ramifications of exposure to toxicants. The PNNL Superfund have implemented a dose-response modelling pipeline to calculate benchmark dose parameters that enable the comparison of potency across chemicals and phenotypes. Our portal provides public access to this dataset and an interactive web site designed to enable exploration and re-use of this data by the scientific community at http://srp.pnnl.gov.
DOI: 10.25584/1923007
title: Classifying Metal-Binding Sites with Neural Networks

description: A pre-trained convolutional neural network was fine-tuned for three separate classification tasks, distinguishing 2D images of: 1) single amino acids, 2) protein structural ball and stick images of metalloproteins, and 3) protein structural ball and stick images of metalloenzymes with the metal cofactors removed. Images used in the training, testing and validation are shared here.
DOI: 10.6084/m9.figshare.21901140
title: GFPA dataset

description: All dataset of GFPA come from a COVID-19 disease progression study conducted by Muzlifah Haniffa <em>et al.(https://doi.org/10.1038/s41591-021-01329-2)</em> healthy_pbmc_MH8919333.h5ad "healthy_pbmc_MH8919333.h5ad" is the dataset for the MH8919333 sample. All_healthy_pbmc.h5ad "All_healthy_pbmc.h5ad" contains 24 PBMC samples. msigdb_v2022.1.Hs_GMTs.zip "msigdb_v2022.1.Hs_GMTs.zip" contains all human related gene function genes in Msigdb database. All gene function sets are in GMT format. <br> msigdb_v2022.1.Mm_GMTs.zip "msigdb_v2022.1.Mm_GMTs.zip" contains all mouse related gene function genes in Msigdb database. All gene function sets are in GMT format. Code, python package and tutorial <strong>Github repository:</strong> https://github.com/studentiz/GFPA/ <strong>Pypi:</strong> https://pypi.org/project/gfpa/ <strong>Tutorial:</strong> https://github.com/studentiz/GFPA/blob/main/Tutorial/ <br>
DOI: 10.6084/m9.figshare.21901140.v1
title: GFPA dataset

description: All dataset of GFPA come from a COVID-19 disease progression study conducted by Muzlifah Haniffa <em>et al.(https://doi.org/10.1038/s41591-021-01329-2)</em> healthy_pbmc_MH8919333.h5ad "healthy_pbmc_MH8919333.h5ad" is the dataset for the MH8919333 sample. All_healthy_pbmc.h5ad "All_healthy_pbmc.h5ad" contains 24 PBMC samples. Code, python package and tutorial <strong>Github repository:</strong> https://github.com/studentiz/GFPA/ <strong>Pypi:</strong> https://pypi.org/project/gfpa/ <strong>Tutorial:</strong> https://github.com/studentiz/GFPA/blob/main/Tutorial/ <br>
DOI: 10.57841/casdc.0000037
title: 中科大校园网络流量元数据
DOI: 10.6084/m9.figshare.21206959
title: RETRACTED ARTICLE: QFFT quantum circuits for exact solutions of the black-hole singularity-mass schrödinger equations on quantum kerr- (A) ds galilean myers– perr driven gravitational transformations in a lorentzian path integral for the anti-COVID-19 roccuffirnatm, roccuttirnaTM, and eplerotiffirnaTM drug designs

description: We, the Editors and Publisher of the Cogent Engineering have retracted the following article: Ioannis Grigoriadis. QFFT Quantum circuits for Exact solutions of the Black-Hole Singularity-Mass Schrödinger Equations on Quantum Kerr- (A) Ds Galilean Myers– Perr driven Gravitational transformations in a Lorentzian Path Integral for the anti-COVID-19 RoccuffirnaTM, RoccuttirnaTM, and EplerotiffirnaTM drug designs. Cogent Engineering. 2022; 9(1):1-54. DOI: 10.1080/23311916.2022.2114198 Since publication, further assessment has determined there are substantial concerns related to the integrity of the content, and the article does not meet the expected editorial standards of the journal. The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The author has been informed of the retraction. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’.
DOI: 10.6084/m9.figshare.21206959.v2
title: RETRACTED ARTICLE: QFFT quantum circuits for exact solutions of the black-hole singularity-mass schrödinger equations on quantum kerr- (A) ds galilean myers– perr driven gravitational transformations in a lorentzian path integral for the anti-COVID-19 roccuffirnatm, roccuttirnaTM, and eplerotiffirnaTM drug designs

description: We, the Editors and Publisher of the Cogent Engineering have retracted the following article: Ioannis Grigoriadis. QFFT Quantum circuits for Exact solutions of the Black-Hole Singularity-Mass Schrödinger Equations on Quantum Kerr- (A) Ds Galilean Myers– Perr driven Gravitational transformations in a Lorentzian Path Integral for the anti-COVID-19 RoccuffirnaTM, RoccuttirnaTM, and EplerotiffirnaTM drug designs. Cogent Engineering. 2022; 9(1):1-54. DOI: 10.1080/23311916.2022.2114198 Since publication, further assessment has determined there are substantial concerns related to the integrity of the content, and the article does not meet the expected editorial standards of the journal. The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The author has been informed of the retraction. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’.
DOI: 10.34740/kaggle/dsv/4944179
title: SBA 7A Loan Data
DOI: 10.5517/ccdc.csd.cc2d9y7x
title: CCDC 2214089: Experimental Crystal Structure Determination

description: Related Article: Susanne Margot Rupf, Amina Leoni Moshtaha, Moritz Malischewski|2023|Chemical Science|14|1132|doi:10.1039/D2SC06151A
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.cc2bwbbx
title: CCDC 2171219: Experimental Crystal Structure Determination

description: Related Article: Alexander M. Brown, Jana L. Butman, Raphael Lengacher, Natasha P. Vargo, Kirsten E. Martin, Angus Koller, Dariusz Śmiowicz, Eszter Boros, Jerome R. Robinson|2022|Inorg.Chem.|62|1362|doi:10.1021/acs.inorgchem.2c02907
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.cc2dc947
title: CCDC 2215388: Experimental Crystal Structure Determination

description: Related Article: Kazuki Nakamura, Koji Nakabayashi, Kenta Imoto, Shin-ichi Ohkoshi|2023|Inorg.Chem.Front.|10|850|doi:10.1039/D2QI02321K
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.cc2dc958
title: CCDC 2215389: Experimental Crystal Structure Determination

description: Related Article: Kazuki Nakamura, Koji Nakabayashi, Kenta Imoto, Shin-ichi Ohkoshi|2023|Inorg.Chem.Front.|10|850|doi:10.1039/D2QI02321K
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.cc2dc9jm
title: CCDC 2215400: Experimental Crystal Structure Determination

description: Related Article: Yunlong Zhao, Rou Xiao, Weibin Fang, Junling Zhao|2022|Org.Chem.Front.|10|718|doi:10.1039/D2QO01763F
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.cc2dch4f
title: CCDC 2215574: Experimental Crystal Structure Determination

description: Related Article: Ying Kai Loh, Mohand Melaimi, Dominik Munz, Guy Bertrand|2023|J.Am.Chem.Soc.|145|2064|doi:10.1021/jacs.2c12847
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.cc2dch5g
title: CCDC 2215575: Experimental Crystal Structure Determination

description: Related Article: Ying Kai Loh, Mohand Melaimi, Dominik Munz, Guy Bertrand|2023|J.Am.Chem.Soc.|145|2064|doi:10.1021/jacs.2c12847
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.cc2dch6h
title: CCDC 2215576: Experimental Crystal Structure Determination

description: Related Article: Ying Kai Loh, Mohand Melaimi, Dominik Munz, Guy Bertrand|2023|J.Am.Chem.Soc.|145|2064|doi:10.1021/jacs.2c12847
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: 10.5519/qd.j2hkb63i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (909 records)
DOI: 10.34740/kaggle/dsv/4944326
title: NSE-Scripts-Data
DOI: 10.5281/zenodo.7604395
title: TMD GRADE assessment tables

description: sheet 1 for pain; sheet 2 for physical functioning; sheet 3 for adverse events
DOI: 10.5281/zenodo.7317235
title: TMD GRADE assessment tables

description: sheet 1 for pain; sheet 2 for physical functioning; sheet 3 for adverse events
DOI: 10.5281/zenodo.7604396
title: League tables for the NMA of temporomandibular disorders

description: sheet 1 for pain; sheet 2 for physical functioning; sheet 3 for adverse events
DOI: 10.5281/zenodo.7110248
title: 4-way Tabla Stroke Classification with Models Adapted from ADT

description: Recordings and 4-way stroke category annotations of tabla playing of solo compositions and accompaniment to vocals (tabla recorded in isolation) released with the following conference paper: M. A. Rohit, A. Bhattacharjee, and P. Rao, “Four-way Classification of Tabla Strokes with Models Adapted from Automatic Drum Transcription”, in Proc. of the 22nd Int. Society for Music Information Retrieval Conf., Online, 2021. The dataset is split into test and train sets. The test set consists of 10 pieces of only the tabla accompaniment recorded in perfect isolation to prerecorded solo Hindustani vocal tracks. It contains 20 minutes of audio and nearly 4,500 strokes. These recordings, made on 3 unique tabla sets by 2 different artists, are diverse in terms of tuning, tala (metre), and tempo. The training set consists of solo compositions and common theka patterns recorded from 10 different tabla-sets. The total audio duration is about 1.25 hours and there are 26,600 strokes. The test set was annotated by first running an automatic onset detector to obtain stroke onsets, followed by manually assigning the four-way labels by listening to the audio and visually inspecting the spectrogram. The training set was annotated by automatically aligning the composition score (supplied by artists) with the audios, and replacing the bols with corresponding target stroke categories. Given the imperfect score-stroke matching, labels were manually verified to assign the same category to similar sounding bols. Onsets are separated into folders for each stroke category. Each '.onsets' file in these folders corresponds to an audio ('.wav') file of the same name and is a text file containing a list of time instants where an onset of a particular stroke category occurs.
DOI: 10.5281/zenodo.7110247
title: 4-way Tabla Stroke Classification with Models Adapted from ADT

description: Recordings and 4-way stroke category annotations of tabla playing of solo compositions and accompaniment to vocals (tabla recorded in isolation) released with the following conference paper: M. A. Rohit, A. Bhattacharjee, and P. Rao, “Four-way Classification of Tabla Strokes with Models Adapted from Automatic Drum Transcription”, in Proc. of the 22nd Int. Society for Music Information Retrieval Conf., Online, 2021. The dataset is split into test and train sets. The test set consists of 10 pieces of only the tabla accompaniment recorded in perfect isolation to prerecorded solo Hindustani vocal tracks. It contains 20 minutes of audio and nearly 4,500 strokes. These recordings, made on 3 unique tabla sets by 2 different artists, are diverse in terms of tuning, tala (metre), and tempo. The training set consists of solo compositions and common theka patterns recorded from 10 different tabla-sets. The total audio duration is about 1.25 hours and there are 26,600 strokes. The test set was annotated by first running an automatic onset detector to obtain stroke onsets, followed by manually assigning the four-way labels by listening to the audio and visually inspecting the spectrogram. The training set was annotated by automatically aligning the composition score (supplied by artists) with the audios, and replacing the bols with corresponding target stroke categories. Given the imperfect score-stroke matching, labels were manually verified to assign the same category to similar sounding bols. Onsets are separated into folders for each stroke category. Each '.onsets' file in these folders corresponds to an audio ('.wav') file of the same name and is a text file containing a list of time instants where an onset of a particular stroke category occurs.
DOI: 10.5517/ccdc.csd.cc2dch7j
title: CCDC 2215577: Experimental Crystal Structure Determination

description: Related Article: Ying Kai Loh, Mohand Melaimi, Dominik Munz, Guy Bertrand|2023|J.Am.Chem.Soc.|145|2064|doi:10.1021/jacs.2c12847
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.cc2dch8k
title: CCDC 2215578: Experimental Crystal Structure Determination

description: Related Article: Ying Kai Loh, Mohand Melaimi, Dominik Munz, Guy Bertrand|2023|J.Am.Chem.Soc.|145|2064|doi:10.1021/jacs.2c12847
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.