cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gh38c
title: CCDC 2278632: Experimental Crystal Structure Determination

description: Related Article: Naoya Ohtsuka, Hino Ota, Satoshi Sugiura, Shuya Kakinuma, Haruki Sugiyama, Toshiyasu Suzuki, Norie Momiyama|2024|CrystEngComm|26|764|doi:10.1039/D3CE01124K
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.cc2gh39d
title: CCDC 2278633: Experimental Crystal Structure Determination

description: Related Article: Naoya Ohtsuka, Hino Ota, Satoshi Sugiura, Shuya Kakinuma, Haruki Sugiyama, Toshiyasu Suzuki, Norie Momiyama|2024|CrystEngComm|26|764|doi:10.1039/D3CE01124K
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.cc2gh3bf
title: CCDC 2278634: Experimental Crystal Structure Determination

description: Related Article: Naoya Ohtsuka, Hino Ota, Satoshi Sugiura, Shuya Kakinuma, Haruki Sugiyama, Toshiyasu Suzuki, Norie Momiyama|2024|CrystEngComm|26|764|doi:10.1039/D3CE01124K
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.cc2grh7z
title: CCDC 2286691: Experimental Crystal Structure Determination

description: Related Article: Yi Lv, Jing Yang, Haibo Li, Wei Liu, Gangfeng Ouyang|2024|Mat.Advs.|5|1234|doi:10.1039/D3MA00904A
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.cc2grh80
title: CCDC 2286692: Experimental Crystal Structure Determination

description: Related Article: Yi Lv, Jing Yang, Haibo Li, Wei Liu, Gangfeng Ouyang|2024|Mat.Advs.|5|1234|doi:10.1039/D3MA00904A
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.cc2grh91
title: CCDC 2286693: Experimental Crystal Structure Determination

description: Related Article: Yi Lv, Jing Yang, Haibo Li, Wei Liu, Gangfeng Ouyang|2024|Mat.Advs.|5|1234|doi:10.1039/D3MA00904A
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.cc2gryx3
title: CCDC 2287146: Experimental Crystal Structure Determination

description: Related Article: Vaibhav Pramod Charpe, Mahima Gupta, Kuo Chu Hwang|2024|Green Chemistry|26|1329|doi:10.1039/D3GC04062C
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.cc2grz18
title: CCDC 2287150: Experimental Crystal Structure Determination

description: Related Article: Vaibhav Pramod Charpe, Mahima Gupta, Kuo Chu Hwang|2024|Green Chemistry|26|1329|doi:10.1039/D3GC04062C
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.10611972
title: Jehovah's Witnesses' Adoption Of Digitally-Mediated Services During Covid-19 Pandemic

description: This is the first paper to analyse the digitalisation measures that Jehovah’s Witnesses adopted during the pandemic and their behavioural consequences. The paper examines how the Witness community met the challenges of the pandemic by rapidly shifting to prerecorded and videoconference meetings, allowing online interaction between congregants. Based on a survey and focus groups, the effect of digitalisation of meetings on the feelings and attitudes to learning of Witnesses is analysed, investigating to what extent digitally-mediated religious services affected them in comparison with in-person meetings with regard to prayers, songs, speaking assignments, audience comments and social interaction, in both active and passive roles. The main conclusions are that digital meetings did not diminish their feelings of relationship with God or their intellectual learning, but performed less well than in-person meetings with regard to songs and social interaction. The authors reflect on how Jehovah’s Witnesses, while strictly upholding COVID-19 measures (they did not meet physically even where legally allowed due to their respect for life), navigated their feelings in the transcendent experience of uniting believers in a virtual environment.
description: Database used to calculate the quantitative part of the paper.
DOI: 10.5281/zenodo.10611989
title: Jehovah's Witnesses' Adoption Of Digitally-Mediated Services During Covid-19 Pandemic

description: This is the first paper to analyse the digitalisation measures that Jehovah’s Witnesses adopted during the pandemic and their behavioural consequences. The paper examines how the Witness community met the challenges of the pandemic by rapidly shifting to prerecorded and videoconference meetings, allowing online interaction between congregants. Based on a survey and focus groups, the effect of digitalisation of meetings on the feelings and attitudes to learning of Witnesses is analysed, investigating to what extent digitally-mediated religious services affected them in comparison with in-person meetings with regard to prayers, songs, speaking assignments, audience comments and social interaction, in both active and passive roles. The main conclusions are that digital meetings did not diminish their feelings of relationship with God or their intellectual learning, but performed less well than in-person meetings with regard to songs and social interaction. The authors reflect on how Jehovah’s Witnesses, while strictly upholding COVID-19 measures (they did not meet physically even where legally allowed due to their respect for life), navigated their feelings in the transcendent experience of uniting believers in a virtual environment.
description: Database used to calculate the quantitative part of the paper.
DOI: 10.5281/zenodo.10621095
title: The cryosphere melt contribution to the imbalanced Asian Water Tower

description: This repository includes the dataset associated to the following paper published in Nature 2024 XX: Tandong Yao, Lonnie Thompson, Wusheng Yu, et al., The cryosphere melt contribution to the imbalanced Asian Water Tower.
DOI: 10.5281/zenodo.10621096
title: The cryosphere melt contribution to the imbalanced Asian Water Tower

description: This repository includes the dataset associated to the following paper published in Nature 2024 XX: Tandong Yao, Lonnie Thompson, Wusheng Yu, et al., The cryosphere melt contribution to the imbalanced Asian Water Tower.
DOI: 10.26131/irsa565
title: Hungry Giants: WISE Excesses and Lithium Study (HG-WELS)

description: We have assembled a set of 316 targets thought to be K giants, two thirds of which are thought to be Li-rich, in order to test the association between IR excesses and lithium abundances. The targets come from the dlR97 study (biased toward IR-bright sources), the C12 study (assembled with limited biases to test correlations of various stellar parameters), and a wide variety of literature identifying Li-rich K giants. For these targets, we assembled a multiwavelength catalog spanning optical through 100 um data, using SDSS, NOMAD, 2MASS, DENIS, WISE, IRAS, AKARI, MSX, and Spitzer data.

This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.25345/c5ks6jg0w
title: MassIVE MSV000094014 - Casanovo non-enzymatic fine-tuning set
title: To create a dataset of PSMs that does not exhibit tryptic bias, we selected PSMs with a uniform distribution of amino acids at the C-terminal peptide positions from two datasets: MassIVE-KB [Wang2018] and PROSPECT [Shouman2022]. The MassIVE-KB dataset contains 30 million PSMs and consists entirely of data generated using trypsin; hence, only a small proportion of the MassIVE-KB peptides do not end in K or R, corresponding to those that appear at the C-terminus of the corresponding protein. The PROSPECT dataset is a collection of 61 million PSMs generated from synthetic peptides. To avoid overrepresentation of some peptides in this dataset, we randomly selected at most 100 PSMs per unique peptide, similar to the processing that was done during the creation of the MassIVE-KB dataset. This pre-selection step reduced the size of the PROSPECT dataset to 12.6 million PSMs. Finally, to create a non-enzymatic dataset containing 1 million peptides, we selected 50,000 PSMs for each canonical amino acid. These PSMs were selected at random from MassIVE-KB, then supplemented as necessary from PROSPECT to obtain the desired count (see Yilmaz et al. [Yilmaz2023] Supplementary Table S1). This dataset contained PSMs from 247,859 unique peptides, which were randomly split into training, validation and test sets in the ratio 80/10/10. FTP directory contains the mgf files corresponding to train, validation and test splits. [Wang2018] M. Wang, J. Wang, J. Carver, B. Pullman, S. Won Cha, N. Bandeira, "Assembling the Community-Scale Discoverable Human Proteome", Cell Systems, Volume 7, Issue 4, 2018. [Shouman2022] O. Shouman, W. Gabriel, V. Giurcoiu, V. Sternlicht, M. Wilhelm, "PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics", NeurIPS Datasets and Benchmarks, 2022 [Yilmaz2023] M. Yilmaz*, W. Fondrie*, W. Bittremieux, R. Nelson, V. Ananth, S. Oh, and W. Noble,"Sequence-to-sequence translation from mass spectra to peptides with a transformer model", bioRxiv, 2023
DOI: 10.5281/zenodo.10558307
title: Parameter estimation sample release for 'Spin Doctors: How to diagnose a hierarchical merger origin'

description: Posterior samples for the six sets of simulated binary black-hole mergers analyzed for 'Spin Doctors: How to diagnose a hierarchical merger origin'. This dataset includes posterior samples for 1000 detectable events in two detector network sensitivities (LIGO-Virgo O3 sensitivity and LIGO-Virgo design sensitivity), for non-spinning first-generation, low-spinning first-generation, and hierarchical systems.
DOI: 10.5281/zenodo.10558308
title: Parameter estimation sample release for 'Spin Doctors: How to diagnose a hierarchical merger origin'

description: Posterior samples for the six sets of simulated binary black-hole mergers analyzed for 'Spin Doctors: How to diagnose a hierarchical merger origin'. This dataset includes posterior samples for 1000 detectable events in two detector network sensitivities (LIGO-Virgo O3 sensitivity and LIGO-Virgo design sensitivity), for non-spinning first-generation, low-spinning first-generation, and hierarchical systems.
DOI: 10.6084/m9.figshare.25148396
title: KARS1 Human Variants

description: Variants were extracted from UniProt, ClinVar, gnomAD, and Geno2MP on 2/5/2024 and integrated with NCBI ortholog alignments performed on 2/5/2024 using kalign algorithm.
DOI: 10.6084/m9.figshare.25148396.v1
title: KARS1 Human Variants

description: Variants were extracted from UniProt, ClinVar, gnomAD, and Geno2MP on 2/5/2024 and integrated with NCBI ortholog alignments performed on 2/5/2024 using kalign algorithm.
DOI: 10.5281/zenodo.10621119
title: Data, Title: From molecules to droplets: The Fog and Aerosol InteRAction Research Italy (FAIRARI) 2021/22 campaign

description: Here we present the aerosol mass spectometer (AMS) data from the dual chamber experiment presented in Fig. 7 of the paper titled "From molecules to droplets: The Fog and Aerosol InteRAction Research Italy (FAIRARI) 2021/22 campaign".
DOI: 10.5281/zenodo.10621120
title: Data, Title: From molecules to droplets: The Fog and Aerosol InteRAction Research Italy (FAIRARI) 2021/22 campaign

description: Here we present the aerosol mass spectometer (AMS) data from the dual chamber experiment presented in Fig. 7 of the paper titled "From molecules to droplets: The Fog and Aerosol InteRAction Research Italy (FAIRARI) 2021/22 campaign".
DOI: 10.5281/zenodo.10476668
title: Transgenic songbird neuron migration

description: GitHub Repository (Transgenic-songbird-neuron-migration) for the following publication:
In vivo imaging in transgenic songbirds reveals superdiffusive neuron migration in the adult brain (2024)
    Naomi R. Shvedov, Sina Analoui, Theresia Dafalias, Brooke L. Bedell, Timothy J. Gardner, Benjamin B. Scott
DOI: 10.5281/zenodo.10476669
title: Transgenic songbird neuron migration

description: GitHub Repository (Transgenic-songbird-neuron-migration) for the following publication:
In vivo imaging in transgenic songbirds reveals superdiffusive neuron migration in the adult brain (2024)
    Naomi R. Shvedov, Sina Analoui, Theresia Dafalias, Brooke L. Bedell, Timothy J. Gardner, Benjamin B. Scott
DOI: 10.5066/p9otmsb0
title: Pesticides in small volume plasma samples

description: Pesticides are widely applied and can enter the environment, potentially effecting non-target organisms. To better evaluate pesticide exposure using non-lethal techniques, a method was developed for the extraction of pesticides and their degradates from small (100 µL) volume plasma samples. Solid phase extraction was used for lipid removal after plasma samples were protein precipitated. Samples were analyzed with liquid chromatography and gas chromatography with tandem mass spectrometry. Samples were spiked at three different concentrations, low (25 ng/mL), medium (100 ng/mL), and high (250 ng/mL) and recoveries of 70 to 130% were achieved across all spike levels for 179, 180, and 183 of 210 target compounds were achieved, respectively; 182 compounds had recoveries of 70 to 130% across all spike levels and method detection levels ranged from 0.4 to 13.0 ng/mL These results can aid in characterizing pesticide exposure in nontarget organisms.
DOI: 10.5281/zenodo.10616880
title: E3SM simulations of Hurricane Irene (Delaware River basin subset)

description: This repository consists of the E3SM simulation outputs of Hurricane Irene (subsetted within Delaware River basin) associated with the manuscript: "Simulation of Compound Flooding using River-Ocean Two-way Coupled E3SM Ensemble on Variable-resolution Meshes". Below are the descriptions for each file:

EAM_ensemble.nc - 25 EAM ensemble simulations.MOSART_1way_baseline.nc - 25 MOSART ensemble simulations for Experiment 1way_baselineMOSART_1way_datm_GSWP.nc - MOSART simulation for Experiment 1way_datm using GSWP forcingMOSART_1way_datm_JRA.nc - MOSART simulation for Experiment 1way_datm using JRA forcingMOSART_1way_r0125.nc - 25 MOSART ensemble simulations for Experiment 1way_r0125MOSART_2way.nc - 25 MOSART ensemble simulations for Experiment 2wayMOSART_1way_SSH.nc - 25 MOSART ensemble simulations for Experiment 1way_SSHMOSART_1way_MSL.nc - 25 MOSART ensemble simulations for Experiment 1way_MSLMPASO_subset_1way_ens001.nc ~ MPASO_subset_1way_ens025.nc - 25 MPAS-O ensemble simulations for Experiment 1way_baselineMPASO_subset_2way_ens001.nc ~ MPASO_subset_2way_ens001.nc - 25 MPAS-O ensemble simulations for Experiment 2way
DOI: 10.5281/zenodo.10498680
title: SSLectures: Abstractive Summaries and Topic Segments of Lecture Videos

description: SSLectures: Abstractive Summaries and Topics Segments of Lecture Videos

 

SSLectures is a dataset containing abstractive summaries of lecture videos from AK Lectures website and MIT OCW repository. It also contains topic segments (chapters) for the MIT lectures. The dataset was scraped from free publicly available material and is published under a Creative Commons License that allows re-distribution and re-use.

 

The dataset is split into 3 files explained below:

mit_chapters_summarized.csv: Contains the transcript and other details of 14.8K chapters (segments) from the MIT lectures along with abstractive summaries generated with GPT-3.5. Each row is one chapter from one lecture video.  Suitable to train summarization to summarize parts of lecture videos. (Not full lectures).

ak_lectures_summarized.csv: Contains the transcript and other details of 1.8k lecture videos from aklectures.com. Each lecture video comes with the abstractive summary that was published on the website. Most videos of this dataset are short, between 5-15 minutes on average. Suitable to train summarization models to summarize full short lecture videos. (~ 15 min. in length for most)

mit_videos_all_courses_segmentations.csv: Contains details of the chaptering (segmentation) of each lecture video from MIT. Each row is for one lecture video, and comes with the timing (end times) and titles of each chapter in the video.  Suitable to train and/or evaluate segmentation algorithms and models for both short and long lecture videos.

Please cite this page if you use this dataset in your research or in other projects. 

Copyright Notice: All rights of the lecture videos, the transcripts the have been scraped, the chapters and titles, the human-written summaries and all other related details belong to the respective owners of the MIT OCW or the AK Lectures websites. Our work here is for research and educational purposes.
DOI: 10.5281/zenodo.10498679
title: SSLectures: Abstractive Summaries and Topic Segments of Lecture Videos

description: SSLectures: Abstractive Summaries and Topics Segments of Lecture Videos

 

SSLectures is a dataset containing abstractive summaries of lecture videos from AK Lectures website and MIT OCW repository. It also contains topic segments (chapters) for the MIT lectures. The dataset was scraped from free publicly available material and is published under a Creative Commons License that allows re-distribution and re-use.

 

The dataset is split into 3 files explained below:

mit_chapters_summarized.csv: Contains the transcript and other details of 14.8K chapters (segments) from the MIT lectures along with abstractive summaries generated with GPT-3.5. Each row is one chapter from one lecture video.  Suitable to train summarization to summarize parts of lecture videos. (Not full lectures).

ak_lectures_summarized.csv: Contains the transcript and other details of 1.8k lecture videos from aklectures.com. Each lecture video comes with the abstractive summary that was published on the website. Most videos of this dataset are short, between 5-15 minutes on average. Suitable to train summarization models to summarize full short lecture videos. (~ 15 min. in length for most)

mit_videos_all_courses_segmentations.csv: Contains details of the chaptering (segmentation) of each lecture video from MIT. Each row is for one lecture video, and comes with the timing (end times) and titles of each chapter in the video.  Suitable to train and/or evaluate segmentation algorithms and models for both short and long lecture videos.

Please cite this page if you use this dataset in your research or in other projects. 

Copyright Notice: All rights of the lecture videos, the transcripts the have been scraped, the chapters and titles, the human-written summaries and all other related details belong to the respective owners of the MIT OCW or the AK Lectures websites. Our work here is for research and educational purposes.
DOI: 10.34740/kaggle/dsv/7564484
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.6084/m9.figshare.24152268
title: Assembly and strain information for 500 genomes sourced from the New Zealand environment

description: <i>Escherichia coli</i> is often used as a faecal indicator bacterium for water quality monitoring. We report the draft genome sequences of 500 <i>Escherichia</i> isolates including newly described <i>Escherichia</i> species: namely <i>Escherichia marmotae</i>, <i>Escherichia ruysiae</i> and <i>Escherichia whittamii</i>, obtained from diverse environmental sources to assist with improved public health risk assessments.
DOI: 10.6084/m9.figshare.24152268.v11
title: Assembly and strain information for 500 genomes sourced from the New Zealand environment

description: <i>Escherichia coli</i> is often used as a faecal indicator bacterium for water quality monitoring. We report the draft genome sequences of 500 <i>Escherichia</i> isolates including newly described <i>Escherichia</i> species: namely <i>Escherichia marmotae</i>, <i>Escherichia ruysiae</i> and <i>Escherichia whittamii</i>, obtained from diverse environmental sources to assist with improved public health risk assessments.
DOI: 10.6084/m9.figshare.24152268.v10
title: Assembly and strain information for 500 genomes sourced from the New Zealand environment

description: <i>Escherichia coli</i> is often used as a faecal indicator bacterium for water quality monitoring. We report the draft genome sequences of 500 <i>Escherichia</i> isolates including newly described <i>Escherichia</i> species: namely <i>Escherichia marmotae</i>, <i>Escherichia ruysiae</i> and <i>Escherichia whittamii</i>, obtained from diverse environmental sources to assist with improved public health risk assessments.
DOI: 10.34740/kaggle/dsv/7564515
title: Full TMDB Movies Dataset 2024 (985K Movies)
DOI: 10.34740/kaggle/dsv/7564519
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.34740/kaggle/dsv/7564564
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.5517/ccdc.csd.cc2gvzgs
title: CCDC 2290046: Experimental Crystal Structure Determination

description: Related Article: Priya Pandey, Mrinalini G. Walawalkar, Ramaswamy Murugavel|2024|J.Organomet.Chem.|1007|123023|doi:10.1016/j.jorganchem.2024.123023
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.