cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17604/swf2-gr77
title: Daily and yearly average nitrate and sulfate aerosol mass concentrations measured at Ragged Point, Barbados from 1989-2011

description: Here we present the nitrate and sulfate particle data that corresponds to the manuscript “Twenty Years of Measurements at Barbados Reveal Different Trends in Trade Wind Aerosol Nitrate and Sulfate: Why has Sulfate Increased While Nitrate Remains Constant?” 
Sulfate and nitrate aerosols degrade air quality and modulate radiative forcing and the hydrological cycle. Emissions of sulfur dioxide (SO2) and nitrogen oxide (NOx) and meteorological factors determine how widespread these impacts are. To determine these impacts in the context of long-range transport to distant sites, we measured sulfate and nitrate aerosol from 1989-2011 at Ragged Point in Barbados. Non-sea salt (nss)-sulfate rapidly decreased by ~30% in the 1990s tracking reductions in SO2 in the U.S. and Europe. However, concentrations began to rise again in 2000 concurrently with increases in SO2 emitted from Asia, India, Africa, and the Middle East. Nitrate remained constant throughout the 22 years, possibly due to natural contributions of reactive nitrogen to the aerosol nitrate budget. These findings provide insight into the impact of changing emissions on the aerosol burden over remote regions that can inform model predictions of current and future aerosol loadings.
This data is associated with the article: Gaston, C.J., Prospero, J.M., Custals, L., Blades, E., Sealy, P., Christie, J.A. Twenty Years of Measurements at Barbados Reveal Different Trends in Trade Wind Aerosol Nitrate and Sulfate: Why has Sulfate Increased While Nitrate Remains Constant?
description: In the file Daily_nitrate_and_sulfate concentrations.csv we provide the daily nitrate and sulfate mass concentrations, which have been filtered for days when the sampling pump run time <10%. Negative values have been excluded. In the file Yearly_nitrate_and_sulfate concentrations.csv yearly averages are also provided.
DOI: 10.6084/m9.figshare.19919768
title: Experimental validation of co-cure process of honeycomb sandwich structures simulation: adhesive fillet shape and bond-line porosity

description: Predictive models describing the co-cure process of honeycomb sandwich structures can increase manufacturing efficiency of aerospace structures by offering rapid, low-cost screening of viable combinations of material and process parameters. Honeycomb sandwich structures are co-cured to bond partially-cured thermoset prepreg facesheets with an adhesive layer to the core structure, during which multiple physical phenomena occur simultaneously. A physics-based predictive tool is developed to simulate this process by integration of sub-models for the adhesive bond-line fillet shape, facesheet consolidation process, and the porosity development within the bond-line, which, due to the coupling effects, is highly dependent on the former two phenomena. In this work, the experimental validation of both the individual sub-models and an integrated model for bond-line porosity is conducted. Despite the stochastic behavior of the co-cure process, the models successfully capture trends in adhesive fillet shape and the bond-line porosity, demonstrating their utility as tools for process screening to maximize the quality of co-cured parts.
DOI: 10.6084/m9.figshare.19919768.v1
title: Experimental validation of co-cure process of honeycomb sandwich structures simulation: adhesive fillet shape and bond-line porosity

description: Predictive models describing the co-cure process of honeycomb sandwich structures can increase manufacturing efficiency of aerospace structures by offering rapid, low-cost screening of viable combinations of material and process parameters. Honeycomb sandwich structures are co-cured to bond partially-cured thermoset prepreg facesheets with an adhesive layer to the core structure, during which multiple physical phenomena occur simultaneously. A physics-based predictive tool is developed to simulate this process by integration of sub-models for the adhesive bond-line fillet shape, facesheet consolidation process, and the porosity development within the bond-line, which, due to the coupling effects, is highly dependent on the former two phenomena. In this work, the experimental validation of both the individual sub-models and an integrated model for bond-line porosity is conducted. Despite the stochastic behavior of the co-cure process, the models successfully capture trends in adhesive fillet shape and the bond-line porosity, demonstrating their utility as tools for process screening to maximize the quality of co-cured parts.
DOI: 10.5281/zenodo.7042164
title: Precomputed gRNAs from crisprDesign (human and mouse)

description: Contains precomputed and annotated gRNAs for human (GRCh38, Ensembl Release 104) and mouse (GRCm38, Ensembl Release 102) protein-coding genes. SpCas9 and enAsCas12a gRNAs available for CRISPR knockout (CRISPRko), CRISPR activation (CRISPRa) and CRISPR interference (CRISPRi). CasRx (RfxCas13d) gRNAs are available for CRISPR knockdown (CRISPRkd). gRNAs were generated using crisprDesign. For more details, see our bioRvix preprint.
DOI: 10.5281/zenodo.7042163
title: Precomputed gRNAs from crisprDesign (human and mouse)

description: Contains precomputed and annotated gRNAs for human (GRCh38, Ensembl Release 104) and mouse (GRCm38, Ensembl Release 102) protein-coding genes. SpCas9 and enAsCas12a gRNAs available for CRISPR knockout (CRISPRko), CRISPR activation (CRISPRa) and CRISPR interference (CRISPRi). CasRx (RfxCas13d) gRNAs are available for CRISPR knockdown (CRISPRkd). gRNAs were generated using crisprDesign. For more details, see our bioRvix preprint.
DOI: 10.17909/xd3d-wp93
title: Io HST/STIS data from Program 15925

description: Calibrated G230L, G430L, and G750L HST/STIS data and associated fringe flats from Program 15925
DOI: 10.5287/bodleian:2amvaaeaz
title: Economic Performance and Institutions: Measuring Technical Efficiency Using SPF Approach
DOI: 10.6084/m9.figshare.20982376
title: genidens_planifrons_ragtag_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20982376.v1
title: genidens_planifrons_ragtag_1.fasta.gz

description: ......
DOI: 10.7284/141247
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PE20-18 using a SeaBird SBE-911+ instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.7040858
title: Evaluation of Phosphoproteomics data-driven signalling network inference

description: <strong>Data</strong> Each processed data set and its adjacency matrices representing gold standard networks are stored in one specific folder. The folders have the data set name. The process of obtaining the pairwise results and the evaluation metrics are divided into two main parts: <strong>1. Pairwise results</strong> First, all the data set folders have to be placed in one main folder. Then run the script: <em>RunAll_Matrices.R</em> This script: Goes through each data set folder: reads the data set calculates for each method the resulting matrix Save in the data folder one file with all resulting matrices: file type RData <strong>2. Evaluation </strong> After this first step, each data set folder has a file that contains all the resulting adjacency matrices. The second step is to run the script RunAll_Golds.R This script Goes through each folder: reads the data set reads the result adjacency matrices from RData files reads the gold networks Calculates all evaluation metrics for each result and each gold network type.
DOI: 10.5281/zenodo.7040857
title: Evaluation of Phosphoproteomics data-driven signalling network inference

description: <strong>Data</strong> Each processed data set and its adjacency matrices representing gold standard networks are stored in one specific folder. The folders have the data set name. The process of obtaining the pairwise results and the evaluation metrics are divided into two main parts: <strong>1. Pairwise results</strong> First, all the data set folders have to be placed in one main folder. Then run the script: <em>RunAll_Matrices.R</em> This script: Goes through each data set folder: reads the data set calculates for each method the resulting matrix Save in the data folder one file with all resulting matrices: file type RData <strong>2. Evaluation </strong> After this first step, each data set folder has a file that contains all the resulting adjacency matrices. The second step is to run the script RunAll_Golds.R This script Goes through each folder: reads the data set reads the result adjacency matrices from RData files reads the gold networks Calculates all evaluation metrics for each result and each gold network type.
DOI: 10.7284/141257
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PE20-15 using a SeaBird SBE-911+ instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.7041640
title: Supercoiling-mediated feedback simulation dataset

description: <strong>Supercoiling-mediated feedback simulation dataset</strong> <strong>Background</strong><br> These files represent simulation datasets generated for the publication<br> "Supercoiling-mediated feedback rapidly couples and tunes transcription"<br> by Christopher Johnstone and Kate E. Galloway. All figures in the paper can be replicated by using the code available at https://github.com/GallowayLabMIT/tangles_model (permalink) and these datasets. <strong>File summary</strong> `unprocessed_datasets.zip` contains the merged Julia simulation files. `preprocessed_datasets.zip` contains the smaller, preprocessed datasets used for actuall plotting of data figures. <strong>File format</strong> The preprocessed datasets are serialized Pandas dataframes (gzipped Parquet files). The unprocessed datasets are self-describing HDF/H5 files. <strong>Usage</strong><br> The main figure-plotting notebook, `notebooks/modeling_paper_figures.ipynb`, contained in the code repository mentioned above can use either the unprocessed or preprocessed datasets. If the preprocessed datasets are present, it will load them directly. If the preprocessed datasets are not present, that Python notebook will preprocess the data. <br> <strong>License</strong><br> This data is available under a CC-BY 4.0 International License.<br> Please attribute: Christopher Johnstone (cjohnsto@mit.edu) Kate E. Galloway (katiegal@mit.edu)
description: Dataset was generated as part of a publication supported by the National Institute of General Medical Sciences of the National Institutes of Health under award number R35-GM143033.
DOI: 10.5281/zenodo.7041641
title: Supercoiling-mediated feedback simulation dataset

description: <strong>Supercoiling-mediated feedback simulation dataset</strong> <strong>Background</strong><br> These files represent simulation datasets generated for the publication<br> "Supercoiling-mediated feedback rapidly couples and tunes transcription"<br> by Christopher Johnstone and Kate E. Galloway. All figures in the paper can be replicated by using the code available at https://github.com/GallowayLabMIT/tangles_model (permalink) and these datasets. <strong>File summary</strong> `unprocessed_datasets.zip` contains the merged Julia simulation files. `preprocessed_datasets.zip` contains the smaller, preprocessed datasets used for actuall plotting of data figures. <strong>File format</strong> The preprocessed datasets are serialized Pandas dataframes (gzipped Parquet files). The unprocessed datasets are self-describing HDF/H5 files. <strong>Usage</strong><br> The main figure-plotting notebook, `notebooks/modeling_paper_figures.ipynb`, contained in the code repository mentioned above can use either the unprocessed or preprocessed datasets. If the preprocessed datasets are present, it will load them directly. If the preprocessed datasets are not present, that Python notebook will preprocess the data. <br> <strong>License</strong><br> This data is available under a CC-BY 4.0 International License.<br> Please attribute: Christopher Johnstone (cjohnsto@mit.edu) Kate E. Galloway (katiegal@mit.edu)
description: Dataset was generated as part of a publication supported by the National Institute of General Medical Sciences of the National Institutes of Health under award number R35-GM143033.
DOI: 10.7284/141219
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PE20-13 using a SeaBird SBE-911+ instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139754
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise SAV-20-09 using a Hawaii UHDAS instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139756
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise SAV-20-09 using a SeaBird SBE-911+ instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139753
title: Fluorometer data collected during research cruise SAV-20-09 using a WETLabs WETStar instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139757
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-20-09 using a Furuno GP-90 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139758
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-20-09 using a Furuno SC50 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139759
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-20-09 using a Hemisphere R131 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139760
title: Gyrocompass data collected during research cruise SAV-20-09 using a Yokogawa CMZ700B instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139761
title: Meteorological Station data collected during research cruise SAV-20-09 using a RMYoung 26800 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139762
title: Singlebeam Echosounder data collected during research cruise SAV-20-09 using a Furuno FCV-585 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139755
title: TSG (Thermosalinograph) data collected during research cruise SAV-20-09 using a SeaBird SBE-45 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.34740/kaggle/dsv/4169313
title: Tales from the Pizza Guy
DOI: 10.26078/c70c-cef6
title: Data for: A Global Survey of the Application of Sea-Level Projections
DOI: 10.6084/m9.figshare.20992291
title: Development of chitosan-multi-walled carbon nanotubes composite for monitoring microcystins

description: Adsorption data, FTIR data, LCMS Data, ELISA data <br> <br>
DOI: 10.6084/m9.figshare.20992291.v1
title: Development of chitosan-multi-walled carbon nanotubes composite for monitoring microcystins

description: Adsorption data, FTIR data, LCMS Data, ELISA data <br> <br>
DOI: 10.5281/zenodo.7046299
title: Simulation Input Data for "Atomic Origins of Biomass Recalcitrance in Organic Solvents"

description: This is the reduced data behind an upcoming manuscript investigating lignocellulosic interactions in plant secondary wall, when exposed to different organic solvent pretreatment. The data is taken directly from the directory structure that contains both the simulation and analysis, with excluded trajectory files and intermediate products to fit within the zenodo upload limit. The tar command used to generate this tarball was: <pre><code class="language-bash">tar -zcvf lignincelluloseindustrialsolvent.tar.gz --exclude="*BAK" --exclude="*#" --exclude="*xtc" --exclude="*gro" --exclude="*log" --exclude="*[0-9].out" --exclude="*npz" --exclude="*pkl" --exclude="*npy" --exclude="*png" --exclude="*bmim*" --exclude="*old" --exclude="*dcd" --exclude="*tmp" --exclude="*xst" --exclude="*edr" --exclude="*txt" --exclude="*state_prev.cpt" --exclude="*ppm" --exclude="Simulations" FaceDifferences</code></pre> Within the FaceDifferences directory, there are 2 primary subdirectories: <strong>Build </strong>contains the scripts and files to build the individual lignin cellulose in organic solvent molecular systems. <strong>NewSolventSimulations</strong> contains the all-atom MD simulation inputs and the analysis scripts (subdirectory <strong>Analysis</strong>)
DOI: 10.5281/zenodo.7046298
title: Simulation Input Data for "Atomic Origins of Biomass Recalcitrance in Organic Solvents"

description: This is the reduced data behind an upcoming manuscript investigating lignocellulosic interactions in plant secondary wall, when exposed to different organic solvent pretreatment. The data is taken directly from the directory structure that contains both the simulation and analysis, with excluded trajectory files and intermediate products to fit within the zenodo upload limit. The tar command used to generate this tarball was: <pre><code class="language-bash">tar -zcvf lignincelluloseindustrialsolvent.tar.gz --exclude="*BAK" --exclude="*#" --exclude="*xtc" --exclude="*gro" --exclude="*log" --exclude="*[0-9].out" --exclude="*npz" --exclude="*pkl" --exclude="*npy" --exclude="*png" --exclude="*bmim*" --exclude="*old" --exclude="*dcd" --exclude="*tmp" --exclude="*xst" --exclude="*edr" --exclude="*txt" --exclude="*state_prev.cpt" --exclude="*ppm" --exclude="Simulations" FaceDifferences</code></pre> Within the FaceDifferences directory, there are 2 primary subdirectories: <strong>Build </strong>contains the scripts and files to build the individual lignin cellulose in organic solvent molecular systems. <strong>NewSolventSimulations</strong> contains the all-atom MD simulation inputs and the analysis scripts (subdirectory <strong>Analysis</strong>)
DOI: 10.5281/zenodo.7020331
title: IODP Expedition 352 Core drilling summary

description: Report includes detailed drilling data for each core: pump(s) used, mud pumped, strokes, shear pins/pressure, bit size/rotation, weight on bit, top drive torque, rate of penetration, core jams, winch and wirelines, core catcher/shoe and barrel, and whether core orientation, drillover, formation temperature, tracers, liners were used.
DOI: 10.5281/zenodo.7020330
title: IODP Expedition 352 Core drilling summary

description: Report includes detailed drilling data for each core: pump(s) used, mud pumped, strokes, shear pins/pressure, bit size/rotation, weight on bit, top drive torque, rate of penetration, core jams, winch and wirelines, core catcher/shoe and barrel, and whether core orientation, drillover, formation temperature, tracers, liners were used.
DOI: 10.5281/zenodo.7055140
title: IODP Expedition 352 Hole drilling summary

description: Report includes detailed drilling data: BHA length, bit parameters, and primary depth measurements.
DOI: 10.5281/zenodo.7055139
title: IODP Expedition 352 Hole drilling summary

description: Report includes detailed drilling data: BHA length, bit parameters, and primary depth measurements.
DOI: 10.5066/p95xlbb5
title: Central Valley Hydrologic Model version 2 (CVHM2): Subsidence Package

description: This digital dataset contains datasets used to develop the Subsidence Package in CVHM2. Data includes number of delay interbeds per model cell (Neq), equivalent thickness for a delay interbeds (Beq), and the zones used to define subsidence parameters. Beq and Neq are calculated from the database of well logs, which is provided in the parent dataset. Five zones are used to define subsidence parameters.
DOI: 10.5281/zenodo.7055142
title: IODP Expedition 352 Section summary

description: Report includes data for individual core sections: coring/drilling depths and recovery, database identifiers for the whole section and section halves, and number of samples taken from the section before and after splitting.
DOI: 10.5281/zenodo.7055141
title: IODP Expedition 352 Section summary

description: Report includes data for individual core sections: coring/drilling depths and recovery, database identifiers for the whole section and section halves, and number of samples taken from the section before and after splitting.
DOI: 10.5281/zenodo.7055146
title: IODP Expedition 352 P-wave velocity logger (whole round)

description: P-wave velocity data were measured on whole-round sections on the Whole-Round Multisensor Logger (WRMSL) using pairs of piezoelectric transducers mounted on a caliper system. Measurements may be affected by degassing of pore fluid and microfracturing during core recovery. Report includes P-wave velocity in x-y plane and distance and traveltime between transducers.
DOI: 10.5281/zenodo.7055145
title: IODP Expedition 352 P-wave velocity logger (whole round)

description: P-wave velocity data were measured on whole-round sections on the Whole-Round Multisensor Logger (WRMSL) using pairs of piezoelectric transducers mounted on a caliper system. Measurements may be affected by degassing of pore fluid and microfracturing during core recovery. Report includes P-wave velocity in x-y plane and distance and traveltime between transducers.
DOI: 10.5281/zenodo.7055148
title: IODP Expedition 352 P-wave velocity caliper (section/discrete)

description: P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.
DOI: 10.5281/zenodo.7055147
title: IODP Expedition 352 P-wave velocity caliper (section/discrete)

description: P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.
DOI: 10.5517/ccdc.csd.cc2blg6m
title: CCDC 2162690: Experimental Crystal Structure Determination

description: Related Article: Craig F. Steven, Martin Lee, Gary S. Nichol, Paul R. J. Davey, Elisabetta Chiarparin, Valerie G. Brunton, Alison N. Hulme|2022|Eur.J.Org.Chem.|2022|e202200393|doi:10.1002/ejoc.202200393
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.cc2blgcs
title: CCDC 2162695: Experimental Crystal Structure Determination

description: Related Article: Craig F. Steven, Martin Lee, Gary S. Nichol, Paul R. J. Davey, Elisabetta Chiarparin, Valerie G. Brunton, Alison N. Hulme|2022|Eur.J.Org.Chem.|2022|e202200393|doi:10.1002/ejoc.202200393
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.