cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dzdsl
title: CCDC 2233760: Experimental Crystal Structure Determination

description: Related Article: Xin‐Da Huang, Xiu‐Fang Ma, Li‐Min Zheng|2023|Angew.Chem.,Int.Ed.|62|e202300088|doi:10.1002/anie.202300088
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.cc2dzdvn
title: CCDC 2233762: Experimental Crystal Structure Determination

description: Related Article: Xin‐Da Huang, Xiu‐Fang Ma, Li‐Min Zheng|2023|Angew.Chem.,Int.Ed.|62|e202300088|doi:10.1002/anie.202300088
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.cc2dzdtm
title: CCDC 2233761: Experimental Crystal Structure Determination

description: Related Article: Xin‐Da Huang, Xiu‐Fang Ma, Li‐Min Zheng|2023|Angew.Chem.,Int.Ed.|62|e202300088|doi:10.1002/anie.202300088
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.cc2dzdwp
title: CCDC 2233763: Experimental Crystal Structure Determination

description: Related Article: Xin‐Da Huang, Xiu‐Fang Ma, Li‐Min Zheng|2023|Angew.Chem.,Int.Ed.|62|e202300088|doi:10.1002/anie.202300088
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.cc2dzdxq
title: CCDC 2233764: Experimental Crystal Structure Determination

description: Related Article: Xin‐Da Huang, Xiu‐Fang Ma, Li‐Min Zheng|2023|Angew.Chem.,Int.Ed.|62|e202300088|doi:10.1002/anie.202300088
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: 10.26093/cds/vizier.36710061
title: Lithium with Machine-Learning

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'The Gaia-ESO Survey: Preparing the ground for 4MOST & WEAVE galactic surveys. Chemical evolution of lithium with machine learning.' (bibcode: 2023A&A...671A..61N)
DOI: 10.6084/m9.figshare.22864043
title: SHEEP

description: metaFlye assembly for the SHEEP dataset
DOI: 10.26093/cds/vizier.51640238
title: Radial velocity of GJ 463 with HRS and HIRES

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'A Jupiter Analog Orbiting The Nearby M Dwarf GJ 463.' (bibcode: 2022AJ....164..238E)
DOI: 10.26093/cds/vizier.51640251
title: ZTF measured rotational period of 40553 M- or G-dwarfs

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Bridging the Gap-The Disappearance of the Intermediate Period Gap for Fully Convective Stars, Uncovered by New ZTF Rotation Periods.' (bibcode: 2022AJ....164..251L)
DOI: 10.21227/72qq-z464
title: Dataset: IQ samples of LTE, 5G NR, WiFi, ITS-G5, and C-V2X PC5

description: Dataset: IQ samples of LTE, 5G NR, WiFi, ITS-G5, and C-V2X PC5Thes dataset comprises IQ samples captured from ITSG-5, C-V2X PC5, WiFi, LTE, 5G NR and Noise. Six different dataset bunches are collected at sampling rates of 1, 5, 10, 15 , 20, and 25 Msps. In each dataset cluster, 7500 examples are collected from each considered technology. The dataset size at each considered sampling rate is 7500 X M, where M can be 44, 220, 440, 660, 880, and 1100 for a sampling rate of 1, 5, 10, 15 , 20, and 25 Msps,respectively.
DOI: 10.26093/cds/vizier.19210117
title: 43yr spectrosc. monitoring of the Pleiades region

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Long-term spectroscopic survey of the Pleiades cluster: the binary population.' (bibcode: 2021ApJ...921..117T)
DOI: 10.26093/cds/vizier.19210005
title: TESS observations of Be stars

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'TESS observations of Be stars: general characteristics and the impulsive magnetic rotator model.' (bibcode: 2021ApJ...921....5B)
DOI: 10.26093/cds/vizier.19210067
title: High-dispersion sp. of 8 Phoenix stream red giants

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Signature of a massive rotating metal-poor star imprinted in the Phoenix stellar stream.' (bibcode: 2021ApJ...921...67C)
DOI: 10.5281/zenodo.7618611
title: Data for "Athabasca River avulsion underway in the Peace-Athabasca Delta, Canada"

description: Water surface elevation, river depth, and ADCP data for paper "Athabasca River avulsion underway in the Peace-Athabasca Delta, Canada, <em>Water Resources Research</em>, Wang et al. 2023".
DOI: 10.5281/zenodo.7618612
title: Data for "Athabasca River avulsion underway in the Peace-Athabasca Delta, Canada"

description: Water surface elevation, river depth, and ADCP data for the WRR paper "Athabasca River avulsion underway in the Peace-Athabasca Delta, Canada, <em>Water Resources Research</em>, Wang et al. 2023, in review".
DOI: 10.5281/zenodo.7622504
title: Data for "Athabasca River avulsion underway in the Peace-Athabasca Delta, Canada"

description: Water surface elevation, river depth, and ADCP data for paper "Athabasca River avulsion underway in the Peace-Athabasca Delta, Canada, <em>Water Resources Research</em>, Wang et al. 2023".
DOI: 10.6084/m9.figshare.22561513
title: Sequencing data

description: Raw reads.
DOI: 10.6084/m9.figshare.22561513.v2
title: Sequencing data

description: Raw reads.
DOI: 10.6084/m9.figshare.22561513.v1
title: Sequencing data

description: Raw reads.
DOI: 10.5517/ccdc.csd.cc2dbmlz
title: CCDC 2214751: Experimental Crystal Structure Determination

description: Related Article: Kaiwen Zeng, Yibei Yang, Jianing Xu, Ning Wang, Weiqiang Tang, Jianchen Xu, Yifeng Zhang, Yanruzhen Wu, Yifei Xu, Guowei Wang, Peining Chen, Bingjie Wang, Xuemei Sun, Guoxin Jin, Huisheng Peng|2023|Angew.Chem.,Int.Ed.|62|e202216060|doi:10.1002/anie.202216060
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: 10.3886/e181166v1-138928
title: Data and Code for Technological Change and the Consequences of Job Loss

description: Data and code repository for "Technological change and the consequences of job loss." In this project, we examine the role of technological change in explaining the large and persistent decline in earnings following job loss. Using detailed skill requirements from the near universe of online vacancies, we estimate technological change by occupation and find that 45% of the decline in earnings after job loss is due to technological change. Technological change lowers earnings after job loss by requiring workers to have new skills to perform newly created jobs in their prior occupation. When workers do not have the required skills, they move to occupations where their skills are still employable but are paid a lower wage.
DOI: 10.5281/zenodo.7942846
title: rapidfire support code and data

description: Data and scripts to accompany the rapidfire manuscript. These include inputs, scripts used in analysis and figure preparation, and resulting outputs. Urban smoke exposure events from large wildfires have become increasingly common in California and throughout the western United States. The ability to study the impacts of high smoke aerosol exposures from these events on the public is limited by the availability of high-quality, spatially-resolved estimates of aerosol concentrations. Methods for assigning aerosol exposure often employ multiple data sets that are time consuming and expensive to create and difficult to reproduce. As these events have gone from occasional to nearly annual in frequency, the need for rapid smoke exposure assessments has increased. The rapidfire R package provides a suite of tools for developing exposure assignments using data sets that are routinely generated and publicly available within a month of the event. Specifically, rapidfire harvests official air quality monitoring, satellite observations, meteorological modeling, operational predictive smoke modeling, and low-cost sensor networks. A machine learning approach (random forests regression) is used to fuse the different data sets. Using rapidfire, we produced estimates of ground-level 24-hour average PM~2.5~ over for several large wildfire smoke events in California from 2017-2021. These estimates show excellent agreement with independent measures of PM~2.5~ from filter-based networks.
DOI: 10.5281/zenodo.7942845
title: rapidfire support code and data

description: Data and scripts to accompany the rapidfire manuscript. These include inputs, scripts used in analysis and figure preparation, and resulting outputs. Urban smoke exposure events from large wildfires have become increasingly common in California and throughout the western United States. The ability to study the impacts of high smoke aerosol exposures from these events on the public is limited by the availability of high-quality, spatially-resolved estimates of aerosol concentrations. Methods for assigning aerosol exposure often employ multiple data sets that are time consuming and expensive to create and difficult to reproduce. As these events have gone from occasional to nearly annual in frequency, the need for rapid smoke exposure assessments has increased. The rapidfire R package provides a suite of tools for developing exposure assignments using data sets that are routinely generated and publicly available within a month of the event. Specifically, rapidfire harvests official air quality monitoring, satellite observations, meteorological modeling, operational predictive smoke modeling, and low-cost sensor networks. A machine learning approach (random forests regression) is used to fuse the different data sets. Using rapidfire, we produced estimates of ground-level 24-hour average PM~2.5~ over for several large wildfire smoke events in California from 2017-2021. These estimates show excellent agreement with independent measures of PM~2.5~ from filter-based networks.
DOI: 10.6084/m9.figshare.22063148
title: Dos Santos et al. 2023 - Limited transmission of maternal vaginal microbiomes

description: Supplementary data for Dos Santos et al. 2023 (Birth mode does not determine the presence of shared bacterial strains between the maternal vaginal microbiome and infant stool microbiome).
DOI: 10.13020/j1rp-kr98
title: Data for Diffusion of knots in nanochannel-confined DNA molecules

description: This data set contains the input and output files from the simulation in " Diffusion of knots in nanochannel-confined DNA molecules." Langevin dynamics simulations were used to investigate the knot diffusion behavior in the nanochannel confined DNA molecules. With this dataset, users should be able to regenerate all the figures that appeared in the paper.
description: With the data provided here, users can reproduce all the figures presented in the associated paper. The data set is split into the subdirectories 'figure#' corresponding to each figure in the main paper. Each folder contains input files and output of Langevin dynamics simulations for the corresponding figures in the paper. For a detailed description of the data files, please read the readme file.
DOI: 10.25345/c5vt1h07h
title: MassIVE MSV000091970 - Covalent painting protein using mouse tissue
title: To identify the structural change of protein, dimethylation was labeled on the lysine of the tissue of mice
DOI: 10.6084/m9.figshare.22787921
title: Loss of smooth muscle alpha-actin effects on cell adhesion

description: Protein ratios for cells plated on matrix functionalized substrates
DOI: 10.5281/zenodo.4654619
title: Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan

description: <strong>Description:</strong><br> This repository holds annual forest disturbance agents/stable land cover maps across Japan using Landsat time series data for 1985-2019. Harvest, Conversion, Thinning, and Other disturbances are mapped as different disturbance agents. The maps cover the entire country of Japan, excluding several isolated islands. The maps are available in compressed GeoTIFF format in Albers Equal Area Conic projection. The maps are also available in Google Earth Engine Apps. <strong>Citation:</strong><br> Shimizu, K. and Saito, H. (2021) Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan. <em>International Journal of Applied Earth Observation and Geoinformation</em> 104: 102555. https://doi.org/10.1016/j.jag.2021.102555 <strong>Period:</strong><br> 1985 to 2019 annually <strong>Spatial resolution:</strong><br> 30m <strong>Projection:</strong><br> Albers Equal Area Conic Projection (Two standard parallels: 33N and 44N, Central Meridian: 135E)
DOI: 10.25919/kpss-3d87
title: Mass spectrometry study of the white lupin allergens in raw and fermented samples

description: The changes in the protein profiles of white lupin as result of fermentation induced by Rhizopus oligosporus was evaluated using discovery proteomic analysis. Moreover, the changes in the abundances of allergen derived tryptic peptides were evaluated using targeted quantitative proteomics study. This collection includes the following data files: The IDA-MS data, ProteinPilot Reports for the IDA data database search, and MRM data.
DOI: 10.25914/1phc-8r73
title: Australian Lightwave Infrastructure Research Testbed Dataset (ALIRT-001) - Level 1 Decimated Data
DOI: 10.48667/rspc-7y20
title: Seminar: An Open Science Framework for Long-tail Research data - Application example: The Astrobiology Habitable Environments Database (AHED)

description: Fundamental research performed by individual PIs and small research teams – termed ‘long-tail’ research – is key a part of the life cycle of NASA missions, in addition to being a driver of scientific advancement. The long-tail traditionally lacks data management resources available to larger groups and missions, however. Improving the accessibility and discoverability of NASA long-tail data will provide an important foundation for new science and is needed to empower traditionally disadvantaged countries and people to contribute to NASA scientific goals.

In this seminar we will discuss the newly launched Astrobiology Habitable Environments Database (AHED). While AHED is focused on serving the needs of the astrobiology science community, it exemplifies the development of a flexible strategy and tools for facilitating open-science data management practices that is adaptable to other areas of long-tail research funded by NASA. This effort aligns with NASA’s multi-year Transform to Open Science (TOPS) initiative and is timely given that 2023 has been designated by NASA as the Year of Open Science.
DOI: 10.34740/kaggle/dsv/5693858
title: Bellabeat Case Study Capstone Project
DOI: 10.34740/kaggle/dsv/5702440
title: Bellabeat Case Study Capstone Project
DOI: 10.25919/pvt2-wp10
title: Parkes observations for project P1032 semester 2023APRS_01

description: This project aims to continue to perform rapid measurements of relativistic parameters of southern binary pulsar systems using data from the Parkes Ultra Wideband Low (UWL) receiver and the MeerKAT telescope thereby enabling measurement of their component masses and in some cases, test theories of gravity. We will use the UWL data to obtain significant orbital coverage and timing baseline on these pulsars and obtain important constraints on orbital and temporal DM variations that will help in identifying the nature of the companion star. We will then use MeerKAT data at crucial orbital phases to improve our chances of measuring the relativistic parameters. Increase in the number of measured NS masses has profound implications for NS internal structure and for stellar and binary evolution physics.
DOI: 10.5281/zenodo.7918118
title: Dataset: Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan

description: <strong>Description:</strong><br> This version of the repository holds an updated dataset of the annual forest disturbance agents/stable land cover maps across Japan using Landsat time series data. This version covers the period for 1985-2021 (1985-2019 in the original dataset). Harvest, Conversion, Thinning, and Other disturbances are mapped as different disturbance agents. The maps cover the entire country of Japan, excluding several isolated islands. The maps are available in compressed GeoTIFF format in Albers Equal Area Conic projection. The maps can be browsed in Google Earth Engine Apps. <strong>Citation:</strong><br> Shimizu, K. and Saito, H. (2021) Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan. <em>International Journal of Applied Earth Observation and Geoinformation</em> 104: 102555. https://doi.org/10.1016/j.jag.2021.102555 <strong>Period:</strong><br> 1985 to 2021 annually <strong>Spatial resolution:</strong><br> 30m <strong>Projection:</strong><br> Albers Equal Area Conic Projection (Two standard parallels: 33N and 44N, Central Meridian: 135E)
DOI: 10.5281/zenodo.7750674
title: Figure data for stochastic kinetics calculations of water autoionization in nanoscopic pools

description: CSV files of data arrays used to construct figures shown in a submitted manuscript.
DOI: 10.5281/zenodo.7750673
title: Figure data for stochastic kinetics calculations of water autoionization in nanoscopic pools

description: CSV files of data arrays used to construct figures shown in a submitted manuscript. V2 of the data set adds one new CSV. No other changes have been made.
DOI: 10.5281/zenodo.7806995
title: Figure data for stochastic kinetics calculations of water autoionization in nanoscopic pools

description: CSV files of data arrays used to construct figures shown in a submitted manuscript. V2 of the data set adds one new CSV. No other changes have been made.
DOI: 10.15785/sbgrid/1026
title: X-Ray Diffraction data from hs SCRIB PDZ23 with TBEV NS5 complex, source of 7QSA structure

description: homo dimer with peptide in between
DOI: 10.6084/m9.figshare.22871558
title: Pink bollworm (<em>Pectinophora gossypiella</em>) DArTseq SNP data

description: This dataset contains genome-wide SNPs for pink bollworm (<em>Pectinophora gossypiella</em>) samples from Australia, India, the U.S., and Pakistan. SNP data was generated by Diversity Arrays Technology, Canberra.
DOI: 10.6084/m9.figshare.22864940
title: test2

description: test2
DOI: 10.6084/m9.figshare.22864940.v2
title: test2

description: test2
DOI: 10.6084/m9.figshare.22864940.v1
title: Pink bollworm (<em>Pectinophora gossypiella</em>) DArTseq SNP data

description: This dataset contains genome-wide SNPs for pink bollworm (<em>Pectinophora gossypiella</em>) samples from Australia, India, the U.S., and Pakistan. SNP data was generated by Diversity Arrays Technology, Canberra.
DOI: 10.48531/jbru.calmip/1jxqk3/0vp37q
title: SI2_Chapter_5_Appendix A4b.tab

description: LCI for HPO
DOI: 10.48531/jbru.calmip/1jxqk3/awj9zu
title: SI3_Chapter_5_Appendix A4c.tab

description: LCI for bio-LNG
DOI: 10.48531/jbru.calmip/1jxqk3
title: To harvest or not? Tradeoffs between SOC maintenance and overall environmental performance of harvesting crop residues for the bioeconomy

description: Life cycle inventory (LCI), foreground data for hydrodeoxigenated pyrolysis oil (HPO) and cryogenic liquefied biogas (bio-LNG) and use as maritime biofuels.
DOI: 10.34740/kaggle/dsv/5702640
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.7943128
title: data table

description: Data table used in the paper data table
DOI: 10.5281/zenodo.7943127
title: data table

description: Data table used in the paper data table
DOI: 10.5281/zenodo.7933146
title: AR-BECCS

description: Data and scripts fo publication Melnikova et al. (2023) We use bash, CDO and python. Land-use mask for SSP5-3.4-OS-AR simulation (assuming afforestation instead of BECCS after 2040) was prepared using src/PFTforAR.sh IPSL-CM6A-LR model simulations were performed in a consistent way with CMIP6 simulations. The (pre-processed to annual) output files are in the ARoutputs directory. Pre-processing of the data was done using bash scripts in src directory. Final manuscript figures were made using python in the jupyter-notebook AR-BECCS.ipynb The data to reproduce the figures are stored in csv and nc directories. If you have any questions, please contact the corresponding author Irina MELNIKOVA at melnikova . irina@nies.go.jp
DOI: 10.5281/zenodo.7943130
title: original data

description: Experimental original data
DOI: 10.5281/zenodo.7943129
title: original data

description: Experimental original data