cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dfbqx
title: CCDC 2217359: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Amber T. Raja, Lewis Jackson, Helena J. Shepherd|2023|Cryst.Growth Des.|23|1768|doi:10.1021/acs.cgd.2c01282
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.cc2dfbry
title: CCDC 2217360: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Amber T. Raja, Lewis Jackson, Helena J. Shepherd|2023|Cryst.Growth Des.|23|1768|doi:10.1021/acs.cgd.2c01282
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.cc2dfbsz
title: CCDC 2217361: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Amber T. Raja, Lewis Jackson, Helena J. Shepherd|2023|Cryst.Growth Des.|23|1768|doi:10.1021/acs.cgd.2c01282
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.cc2dfbt0
title: CCDC 2217362: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Amber T. Raja, Lewis Jackson, Helena J. Shepherd|2023|Cryst.Growth Des.|23|1768|doi:10.1021/acs.cgd.2c01282
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.cc2dfbv1
title: CCDC 2217363: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Amber T. Raja, Lewis Jackson, Helena J. Shepherd|2023|Cryst.Growth Des.|23|1768|doi:10.1021/acs.cgd.2c01282
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: 10.34740/kaggle/dsv/5124319
title: AdultoMayor_28_fc
DOI: 10.5517/ccdc.csd.cc2df9pv
title: CCDC 2217327: Experimental Crystal Structure Determination

description: Related Article: Lee T. Birchall, Amber T. Raja, Lewis Jackson, Helena J. Shepherd|2023|Cryst.Growth Des.|23|1768|doi:10.1021/acs.cgd.2c01282
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.cc2dlv62
title: CCDC 2222644: Experimental Crystal Structure Determination

description: Related Article: Alexander J. Kibler, Nicole Tsang, Max Winslow, Stephen P. Argent, Hon Wai Lam, David Robinson, Graham N. Newton|2023|Inorg.Chem.|62|3585|doi:10.1021/acs.inorgchem.2c04249
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: 10.25919/g84x-mj93
title: Parkes observations for project P1162 semester 2022OCTS_07

description: Pulsar timing is a powerful tool in studying pulsar physics. Discovering more exotic pulsar systems or timing pulsars with higher precision is an essential part of pulsar astronomy. As a recently discovered millisecond pulsar, PSR J1402+13 is an interesting source for follow-up timing observations. First, its spin-down rate is the highest among known millisecond pulsars according to initial data. This spin-down rate, if confirmed, will place stringent constraints on the spin-up process predicted by pulsar recycling theories. Second, and more importantly, J1402+13 is a very promising candidate for pulsar timing arrays, with an achievable precision at the level of 6 nanoseconds for 60 minutes observation with Parkes. We thus apply for 18.7 hours to conduct dedicated timing observations of J1402+13 over the period of half a year (and more observations in the future semesters). This project will derive an ephemeris of the system, which is valuable to understand its formation and evolution history. Furthermore, the observations will allow us to evaluate the timing performance of J1402+13 and its suitability to be included in pulsar timing arrays.
DOI: 10.26186/147425
title: Sediment-hosted base metal mineral potential maps

description: Maps showing the potential for sediment-hosted base metal mineral systems in Australia. Each of the mineral potential maps is a synthesis of four component layers: sources of metals, energy drivers, lithospheric architecture, and depositional gradients, using a weighted sum to produce the final mineral potential map for the mineral system. Uncertainty maps are provided in conjunction with each of the mineral potential maps that represent the availability of data coverage over Australia for the selected combination of input maps. An assessment criteria table is provided and contains information on the map creation.
DOI: 10.25919/dk5r-7g55
title: Parkes pulsar observations with undefined project IDs for 2022OCTS_21

description: Parkes pulsar observations with undefined project IDs for 2022OCTS. This collection contains observations from project IDs PX084, PX101 and PX102.
DOI: 10.6084/m9.figshare.22266523.v1
title: Counts of insect abundances analyzed

description: dataset
DOI: 10.6084/m9.figshare.22266523
title: Counts of insect abundances analyzed

description: dataset
DOI: 10.6084/m9.figshare.22266526
title: Output of boostrapping analsysis

description: output of an analysis used in plots
DOI: 10.6084/m9.figshare.22266526.v1
title: Output of boostrapping analsysis

description: output of an analysis used in plots
DOI: 10.25912/rdf_1678751130480
title: Diurnal changes in choroidal optical coherence tomography angiography indices over 24 hours in healthy young adults
DOI: 10.5281/zenodo.7730111
title: Dataset for "Microwave Observations of Ganymede's Sub-Surface Ice Part II: Reflected Radiation"

description: Dataset for figures in paper "Microwave Observations of Ganymede's Sub-Surface Ice Part II: Reflected Radiation".
DOI: 10.5281/zenodo.7730110
title: Dataset for "Microwave Observations of Ganymede's Sub-Surface Ice Part II: Reflected Radiation"

description: Dataset for figures in paper "Microwave Observations of Ganymede's Sub-Surface Ice Part II: Reflected Radiation".
DOI: 10.5281/zenodo.7703620
title: PFVN-synth: Synthesized Violin-Piano Ensemble Dataset

description: A PFVN-synth dataset contains realistic instrumental triplet audios of piano, violin, and their mixture by rendering MIDI files with virtual instruments using musical scores of 45 different pieces by 23 classical composers with a total duration of 7 hours. All MIDI files were collected on the MuseScore website. All tracks are rendered into monaural audio files with the standard CD quality: 44.1kHz, 16-bit. We used commercial virtual instruments to synthesize piano and violin. Specifically, we used ‘Bösendorfer Grand Piano’ in Apple Logic Pro and ‘SWAM Violin V3’ by Audio Modeling. It is divided into a train set containing 32 pieces with a duration of 5.8 hours, a validation set containing 3 pieces with a duration of 30 minutes, and a test set containing 10 pieces with a duration of 50 minutes so that the composers are not biased to the split sets.
DOI: 10.5281/zenodo.7703619
title: PFVN-synth: Synthesized Violin-Piano Ensemble Dataset

description: A PFVN-synth dataset contains realistic instrumental triplet audios of piano, violin, and their mixture by rendering MIDI files with virtual instruments using musical scores of 45 different pieces by 23 classical composers with a total duration of 7 hours. All MIDI files were collected on the MuseScore website. All tracks are rendered into monaural audio files with the standard CD quality: 44.1kHz, 16-bit. We used commercial virtual instruments to synthesize piano and violin. Specifically, we used ‘Bösendorfer Grand Piano’ in Apple Logic Pro and ‘SWAM Violin V3’ by Audio Modeling. It is divided into a train set containing 32 pieces with a duration of 5.8 hours, a validation set containing 3 pieces with a duration of 30 minutes, and a test set containing 10 pieces with a duration of 50 minutes so that the composers are not biased to the split sets.
DOI: 10.6084/m9.figshare.22199102
title: Short-term exposure of female BALB/cJ mice to e-cigarette aerosol promotes neutrophil recruitment and enhances neutrophil-platelet aggregation in pulmonary microvasculature

description: Despite the perception that e-cigarettes are safer than conventional cigarettes, numerous findings demonstrated that e-cigarette aerosol (EC) exposure induced compromised immune functionality, vascular changes even after acute exposure, and lung injury. Notably, altered neutrophil functionality and platelet hemodynamics have been observed post-EC exposure. It was hypothesized that EC exposure initiates an inflammatory response resulting in altered neutrophil behavior and increased neutrophil-platelet interaction in the pulmonary microvasculature. Neutrophil and platelet responses were examined up to 48 hrs following whole-body, short-term EC exposure without flavorants or nicotine in a murine model, which most closely modeled secondhand exposure. This study is the first to investigate the impact of EC exposure through lung intravital imaging. Compared to room air-exposed mice, EC-exposed mice displayed significantly increased 1.7‒1.9-fold number of neutrophils in the pulmonary microvasculature associated with no marked change in neutrophils within whole blood or bronchoalveolar lavage fluid (BALF). Neutrophil-platelet interactions were also significantly elevated 1.9‒2.5-fold in exposed mice. Plasma concentration of myeloperoxidase was markedly reduced 1.5-fold 48 hr following exposure cessation, suggesting suppressed neutrophil antimicrobial activity. Cytokine expression exhibited changes indicating vascular damage. Effects persisted for 48 hr post-EC exposure. Data demonstrated that EC exposure repeated for 3 consecutive days in 2.5 hr intervals in the absence of flavorants or nicotine resulted in modified pulmonary vasculature hemodynamics, altered immune functionality, and a pro-inflammatory state in female BALB/cJ mice.
DOI: 10.6084/m9.figshare.22199102.v2
title: Short-term exposure of female BALB/cJ mice to e-cigarette aerosol promotes neutrophil recruitment and enhances neutrophil-platelet aggregation in pulmonary microvasculature

description: Despite the perception that e-cigarettes are safer than conventional cigarettes, numerous findings demonstrated that e-cigarette aerosol (EC) exposure induced compromised immune functionality, vascular changes even after acute exposure, and lung injury. Notably, altered neutrophil functionality and platelet hemodynamics have been observed post-EC exposure. It was hypothesized that EC exposure initiates an inflammatory response resulting in altered neutrophil behavior and increased neutrophil-platelet interaction in the pulmonary microvasculature. Neutrophil and platelet responses were examined up to 48 hrs following whole-body, short-term EC exposure without flavorants or nicotine in a murine model, which most closely modeled secondhand exposure. This study is the first to investigate the impact of EC exposure through lung intravital imaging. Compared to room air-exposed mice, EC-exposed mice displayed significantly increased 1.7‒1.9-fold number of neutrophils in the pulmonary microvasculature associated with no marked change in neutrophils within whole blood or bronchoalveolar lavage fluid (BALF). Neutrophil-platelet interactions were also significantly elevated 1.9‒2.5-fold in exposed mice. Plasma concentration of myeloperoxidase was markedly reduced 1.5-fold 48 hr following exposure cessation, suggesting suppressed neutrophil antimicrobial activity. Cytokine expression exhibited changes indicating vascular damage. Effects persisted for 48 hr post-EC exposure. Data demonstrated that EC exposure repeated for 3 consecutive days in 2.5 hr intervals in the absence of flavorants or nicotine resulted in modified pulmonary vasculature hemodynamics, altered immune functionality, and a pro-inflammatory state in female BALB/cJ mice.
DOI: 10.6084/m9.figshare.22199102.v1
title: Short-term exposure of female BALB/cJ mice to e-cigarette aerosol promotes neutrophil recruitment and enhances neutrophil-platelet aggregation in pulmonary microvasculature

description: Despite the perception that e-cigarettes are safer than conventional cigarettes, numerous findings demonstrated that e-cigarette aerosol (EC) exposure induced compromised immune functionality, vascular changes even after acute exposure, and lung injury. Notably, altered neutrophil functionality and platelet hemodynamics have been observed post-EC exposure. It was hypothesized that EC exposure initiates an inflammatory response resulting in altered neutrophil behavior and increased neutrophil-platelet interaction in the pulmonary microvasculature. Neutrophil and platelet responses were examined up to 48 hrs following whole-body, short-term EC exposure without flavorants or nicotine in a murine model, which most closely modeled secondhand exposure. This study is the first to investigate the impact of EC exposure through lung intravital imaging. Compared to room air-exposed mice, EC-exposed mice displayed significantly increased 1.7‒1.9-fold number of neutrophils in the pulmonary microvasculature associated with no marked change in neutrophils within whole blood or bronchoalveolar lavage fluid (BALF). Neutrophil-platelet interactions were also significantly elevated 1.9‒2.5-fold in exposed mice. Plasma concentration of myeloperoxidase was markedly reduced 1.5-fold 48 hr following exposure cessation, suggesting suppressed neutrophil antimicrobial activity. Cytokine expression exhibited changes indicating vascular damage. Effects persisted for 48 hr post-EC exposure. Data demonstrated that EC exposure repeated for 3 consecutive days in 2.5 hr intervals in the absence of flavorants or nicotine resulted in modified pulmonary vasculature hemodynamics, altered immune functionality, and a pro-inflammatory state in female BALB/cJ mice.
DOI: 10.6084/m9.figshare.20506809
title: Datesets for paper "Optical dipole-induced anisotropic growth of semiconductors: A facile strategy toward chiral and complex nanostructures"

description: This dataset contains the raw data source for the figure plots shown in the main manuscript entitled "Optical dipole-induced anisotropic growth of semiconductors: A facile strategy toward chiral and complex nanostructures"
DOI: 10.34740/kaggle/ds/2999139
title: Distillation column
DOI: 10.5517/ccdc.csd.cc2857g5
title: CCDC 2090406: Experimental Crystal Structure Determination

description: Related Article: Richard R. Surgenor, Xiangqian Liu, Morgan J. H. Keenlyside, William Myers, Martin D. Smith|2022|Nature Chemistry|15|357|doi:10.1038/s41557-022-01095-9
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: 10.25345/c5x63bg0h
title: MassIVE MSV000091483 - sildenafil_metabolism data for phenotyping_2022_Nov_analysis
title: metabolism study data of sildenafil citrate for phenotyping analysis
DOI: 10.5519/qd.z5w8y6iu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.26300/y5hc-vk05
title: Supplementary Table 1: Matched eRNA expression and Patient survival information
DOI: 10.26300/dp18-3966
title: Supplementary Table 2: Names of CSC genes with significant correlation to the seven CREs
DOI: 10.26300/tycg-xy37
title: Supplementary Table 3: eRNA primers and probes used for qPCR and tissue expression analysis respectively
DOI: 10.25345/c5sj1b180
title: MassIVE MSV000091484 - GNPS_GC-MS_Sugarcane wastes_Hexane
title: This GC-MS dataset contained sugarcane parts i.e., bagasse, filter cake, leave and top, leave, stem and root. Each cane parts were extracted with hexane using soxhlet extraction.
DOI: 10.6084/m9.figshare.22009436
title: A Deep-learning Model for Fast Prediction of Vacancy Formation in Diverse Materials

description: The presence of point defects such as vacancies plays an important role in material design. Here, we explore the extrapolative power of a graph neural network (GNN) to predict vacancy formation energies. We show that a model trained only on perfect materials can also be used to predict vacancy formation energies ($E_{vac}$) of defect structures without the need for additional training data. Such GNN-based predictions are considerably faster than density functional theory (DFT) calculations and show the potential as a quick pre-screening tools for defect systems. To test this strategy, we developed a DFT dataset of 473 $E_{vac}$ consisting of 3D elemental solids, alloys, oxides, semiconductors and 2D monolayer materials. We analyzed and discussed the applicability of such direct and fast predictions. We applied the model to predict 192494 $E_{vac}$ for 55723 materials in the JARVIS-DFT database. Our work demonstrates how a GNN-model performs on unseen data. The model is available at \url{https://github.com/usnistgov/alignn}. <br> Script: https://github.com/usnistgov/alignn/blob/main/alignn/scripts/alignn_evac.py ALIGNN GitHub repo: https://github.com/usnistgov/alignn JARVIS-Tools repo: https://github.com/usnistgov/jarvis JARVIS-DFT Website: https://jarvis.nist.gov/jarvisdft/ <br>
DOI: 10.6084/m9.figshare.22009436.v1
title: A Deep-learning Model for Fast Prediction of Vacancy Formation in Diverse Materials

description: The presence of point defects such as vacancies plays an important role in material design. Here, we \red{explore} the extrapolative power of a graph neural network (GNN) to predict vacancy formation energies. We show that a model trained only on perfect materials can also be used to predict vacancy formation energies ($E_{vac}$) of defect structures without the need for additional training data. Such GNN-based predictions are considerably faster than density functional theory (DFT) calculations and show the potential as a quick pre-screening tools for defect systems. To test this strategy, we developed a DFT dataset of 473 $E_{vac}$ consisting of 3D elemental solids, alloys, oxides, semiconductors and 2D monolayer materials. We analyzed and discussed the applicability of such direct and fast predictions. We applied the model to predict 192494 $E_{vac}$ for 55723 materials in the JARVIS-DFT database. Our work demonstrates how a GNN-model performs on unseen data. The model is available at \url{https://github.com/usnistgov/alignn}. <br> ALIGNN GitHub repo: https://github.com/usnistgov/alignn JARVIS-Tools repo: https://github.com/usnistgov/jarvis JARVIS-DFT Website: https://jarvis.nist.gov/jarvisdft/ <br>
DOI: 10.17632/hfz5hg267n.1
title: Konagaya et al. 2024

description: MCF-10a and RPE-1 cells released from two-day starvation.

MCF-10a were released with 20ng/mL EGF in starvation media. 
These cells were stably transduced with the following reporters: 
-DHB(aa994–1087)-mTurquoise (CDK reporter)
-mCherry-hCdt1(1-100)ΔCy (CRL4 reporter)
-H2B-miRFP670 (nuclear marker)
-pCDC6-mVenus-NLS-PEST (E2F reporter)
Channel order: CDK reporter, E2F reporter, Crl4 reporter, nuclear marker 

RPE-1 cells were released with growth media. These cells were stably transduced with the E2F reporter and the nuclear marker.
Channel order: E2F reporter, nuclear marker 

Both time series are scaled 0.65 microns per pixel and were collected at one image every 12-minutes.
DOI: 10.17632/2v8zncksb2.1
title: Multifunctional material enables ultrafast and large-scale enrichment of glycopeptides and reveals distinct spatial patterns in oxidative stress

description: Our study offers a convenient and robust site-specific chemproteomics tool for glycoproteome profiling, enabling simultaneous identification of O-GlcNAc sites and N-glycosites by a two-step enzymatic release strategy, and the application of this material revealed distinct spatial O-GlcNAcylation patterns upon oxidative stress.
DOI: 10.17632/5t8tb7xztk.1
title: José Miguel Moreno CCyT

description: Actividad para la asignatura CCyT (MHMBI 23-24)
DOI: 10.17632/5t8tb7xztk.2
title: EVALUACIÓN DEL PAPEL DE LA CHOPERA COMO SISTEMA DE FILTRO VERDE (CCYT)

description: Actividad para la asignatura CCyT (MHMBI 23-24)
DOI: 10.15468/dl.yzdd55
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithops eberlanzii (Dinter & Schwantes) N.E.Br."
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043197-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/t7grfb55vf.1
title: FoF dataset

description: Dataset for studying fear of failure among students
DOI: 10.17632/z4hbs25bhp.1
title: Distance Perception Difference between Vitural Scences and Real World

description: We compared the egocentric distance perception in virtual scenes with that in real world by adopting a new direct matching method.
DOI: 10.17632/63pxv64h75.1
title: Electricity generation, natural gas consumption and CO2 emission data of a power plant in Dhaka, Bangladesh

description: This study collected fuel consumption and electricity generation data from an engine-based natural gas-fired power plant in Dhaka Export Processing Zone Authority (DEPZ), Bangladesh. In this study, CO2 emission was calculated using IPCC 2006 guidelines from fuel consumption data from 2015 to 2022. This data will be helpful in further study and emission forcasting and emission reduction strategies preparation. CO2 Emission forecasting is an important tool for predicting future levels of greenhouse gas emissions. It helps us understand the impact of human activities like power generation, fuel burn on the environment, and climate change. By analyzing past trends and current data, this study will make informed decisions about how to reduce emissions and mitigate the effects of climate change. Accurate emission forecasts are essential for National and international policymakers, businesses, and individuals to develop effective strategies for reducing emissions and transitioning to a more sustainable future.