cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20933512
title: Additional file 1 of Resilience of breadfruit agro-ecosystems in Hawaiʻi during the COVID-19 pandemic

description: Additional file 1: Data S1. Survey questionnaire. Data S2. Complete data of all survey questions excluding participants contact information. Data S3. Agroforestry characteristics relating to distinct resilience indicators (Cabell and Oelofse 2012).
DOI: 10.6084/m9.figshare.20933512.v1
title: Additional file 1 of Resilience of breadfruit agro-ecosystems in Hawaiʻi during the COVID-19 pandemic

description: Additional file 1: Data S1. Survey questionnaire. Data S2. Complete data of all survey questions excluding participants contact information. Data S3. Agroforestry characteristics relating to distinct resilience indicators (Cabell and Oelofse 2012).
DOI: 10.18462/iir.icr.2019.0227
title: Review of next generation low GWP refrigerants for chiller products.
DOI: 10.4121/uuid:51b743a1-1c24-4796-8e07-89c5e67a50cf
title: Time-series of monthly mean steric sea levels

description: This dataset with monthly mean sea levels complements the Global Tide and Surge Reanalysis (GTSR) dataset. The GTSR time-series do not includes variations in mean sea level driven by changes in water mass and water density. We estimated the density effect by computing the monthly mean steric sea levels based on temperature and salinity data profiles. The algorithm is developed by Amiruddin et al., (2015; {https:/doi.org/10.1002/2015JC010923}). We use monthly means of global gridded temperature and salinity data from Ishii and Kimoto (2009). This data set ends in 2012, so we use the EN4.1.1 dataset from the UK MET Office for the period 2012-2014 (Good et al., 2013; Gouretski & Reseghetti, 2010).
DOI: 10.5066/f7rn373c
title: Water and petroleum well data used for preliminary regional groundwater salinity mapping near selected oil fields in central and southern California

description: This digital data set contains total dissolved solids (either reported or calculated from specific conductance in lieu of reported total dissolved solids data), well construction, and well identifying information for 1,131 petroleum wells and 3,546 water wells used to map salinity in and around 31 southern and central California oil fields. The data set also includes ancillary data in the form of top perforation (petroleum wells), bottom perforation, well depth, or hole depth (water wells), land-surface elevation at the well head, and well location and identifier information. For petroleum wells missing top perforation depth (3 percent), the median top perforation depth for all wells within the field having top of perforation depth is provided as an approximation for the purpose of vertical plotting. For water wells, well depth or hole depth were used in lieu of bottom perforation depth. For water wells lacking bottom perforation, well depth, and hole depth (40 percent), the bottom perforation was estimated based on screen length when available (5 percent), or the median bottom perforation or median well depth for all wells associated with an individual field is provided as an approximation for the purpose of vertical plotting (35 percent).
DOI: 10.5281/zenodo.6350600
title: MD simulation of POPC bilayer with OPLS3e force field, 200 mM CaCl2 part 2

description: MD simulation of POPC bilayer with OPLS3e force field, 200 mM CaCl<sub>2</sub> part 2 (500-1000ns) Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory, topology (-out.cms), and other files For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_cacl200_x-xns.tar.gz) System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: CaCl<sub>2</sub> Concentration: 200 mM Number of cations: 32 Simulation time: 1000 ns (in this dataset 500-1000ns) Simulation engine: Desmond 2019-4 Temperature: 300 K Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 200 mM CaCl<sub>2</sub> part 1
DOI: 10.5281/zenodo.6366106
title: GEOS CCM free-running simulation data of the Pacific-Northwest pyrocumulonimbus Event-like aerosol injection, SWIRL selection

description: Data from GEOS CCM free running simulation of the Pacific-Northwest pyrocumulonimbus Event. The simulations have been designed and performed by Sampa Das and Peter R. Colarco at the NASA Center for Climate Simulations; the computing resources supporting the simulations shown in this work were provided by the NASA High-End Computing (HEC) Program through the NASA Center for Climate Simulation (NCCS) at the Goddard Space Flight Center. The datasets stored here have been generated by Giorgio Doglioni starting from the whole results of the simulations. The files are in hdf5 format and their structure and content is described in the README file.
DOI: 10.5281/zenodo.6366287
title: MD simulation of POPC bilayer with OPLS3e force field, 1000 mM NaCl part 2

description: MD simulation of POPC bilayer with OPLS3e force field, 1000 mM NaCl part 2 (500-1000ns) Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory, topology (-out.cms), and other files. For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_nacl1000_x-xns.tar.gz) System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: NaCl Concentration: 1000 mM Number of cations: 160 Simulation time: 1000 ns (in this dataset 500-1000ns) Simulation engine: Desmond 2019-4 Temperature: 300 K Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 1000 mM NaCl part 1
DOI: 10.5281/zenodo.6976234
title: Data for NHESS manuscript by Biass et al. (2022): Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data

description: This repository contains the data produced in the context of the following paper: Biass S, Jenkins SF, Aberhard WH, Delmelle P, Wilson T (2022): Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data, Accepted in NHESS Naming convention is: `run_date`_`landcover`_`impact_metrics`_`VI`_`anomaly`_test.pkl, where: Landcover is either crops, shrubs, herbaceous vegetation (grass), forests (trees) or all together Impact metrics is either minV (impact magnitude) or minT (impact duration) VI is the vegetation index (here, EVI) Anomaly is the impact indicator (here, cumulative difference index) Refer to the associated paper for more information on the methodology. Files are saved as .pkl and were generated by the explainerdashboard library. They are the result of XGBoost runs that were optimised with Optuna and analysed with the SHAP library. They contain: The explanatory variables and observed and computed target variables for all features The SHAP values To load the files, use this method.
DOI: 10.5285/e686816f-8bdd-4782-e053-6c86abc07adc
title: Deployment of UEA Seaglider sg537 ('Fin') near the Boussole time series site (Mediterranean Sea) with pH/p(CO<sub>2</sub>) ISFET sensor testing, March - April 2016.

description: Data for University of East Anglia (UEA) Seaglider sg537 ('Fin') deployed near the BOUSSOLE/DyFAMed sites in the northwestern Mediterranean Sea in March-April 2016. Variables in the dataset include sea water temperature, salinity, pressure, dissolved oxygen content, chlorophyll concentration, optical backscatter coefficients and pH. The aim of the deployment was to test two experimental ISFET pH-pCO2 sensors and to estimate net community production. Please see Hemming et al. (2022) for more information.
DOI: 10.6084/m9.figshare.17142368.v1
title: Copy of Trial Registry Approval for The effect of a siamese pumpkin and tuna-based powder (CHAGURO) diet in improving HbA1c, HDL-C, and chol/HDL ratios in prediabetes individuals with dyslipidemia: a randomised trial

description: Ethical approval from The Medical and Health Research Ethics Committee (MHREC), Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada - Dr. Sardjito General Hospital, under trial protocol register No.KE/FK/0951/EC/2020 (August 27, 2020).
DOI: 10.5281/zenodo.5518065
title: MIRA-Datasets: Datasets from Metrics for Intercomparison of Remapping Algorithms

description: The Metrics for Intercomparison of Remapping Algorithms (MIRA) project provides the Python drivers for the intercomparison study to enable the computation of metrics for different remapping algorithms of interest in ESM. The dataset repository contains three groups of artifacts: the original test cases used in the study and the output metrics data from four different remapping algorithms, along with some helpful scripts to compare the metrics data. Details are provided below. All of the input meshes, sampled reference data on the meshes for several uniformly refined resolutions, and regionally refined cases are contained within the <code>Meshes</code> directory. The uniformly refined meshes for Cubed-Sphere (CS), polygonal quasi-uniform MPAS and Regular Latitude-Longitude (RLL) meshes along with sampled field data for five different fields are provided in <code>Meshes/UniformlyRefined/</code> directory. The regionally refined meshes for CS and MPAS meshes around continental-US (CONUS) region with the sampled reference field data is available under <code>Meshes/RegionallyRefined</code> directory. The input meshes provided under <code>Meshes</code> directory were used to perform a remapping intercomparison study that analyzed the key numerical metrics to gain better insight into the behavior of remapping algorithms, and to compare several key properties under a unified framework. Four different remapping algorithms were considered in this study. Earth System Modeling Framework (ESMF) Regrid TempestRemap high-order conservative maps Generalized Moving-Least-Squares (GMLS) algorithm A variation with the Clip-And-Assured-Sum (CAAS) algorithm to enforce bounds preservation Weighted-Least-Squares Essentially Non-oscillatory Remap (WLS-ENOR) scheme The metrics data collected for each of the cases and remapping algorithms are stored under the <code>MetricsData</code> directory. The metrics CSV files include details about: Error convergence data in global norms $L_1, L_2, L_{\inf}, H_1$ and $\left|H_1\right|$ Global bounds preservation for determining monotonicity Local feature preservation through repeated remapping cycles Grid independence by using test cases with different mesh types and (uniformly refined/regionally refined) resolutions A set of helpful Python scripts have also been provided to easily compare different aspects of the metrics data to gain more insight into the behavior of the remapping algorithms. These are under <code>Scripts</code> directory.
description: Github repository: https://github.com/CANGA/MIRA-Datasets
DOI: 10.5281/zenodo.6351089
title: MD simulation of POPC bilayer with OPLS3e force field, 500 mM CaCl2 part 2

description: MD simulation of POPC bilayer with OPLS3e force field, 500 mM CaCl<sub>2</sub> part 2 Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory and topology (-out.cms). For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_cacl500_x-xns.tar.gz). Dataset also contains Gromacs converted trajectories for the last 500 ns of 1000 ns, and are as 100 ns pieces for analysis since simulation did not equilibrate during 1000 ns. System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: CaCl<sub>2</sub> Concentration: 500 mM Number of cations: 80 Simulation time: 1000 ns (in this dataset 500-1000ns) Simulation engine: Desmond 2019-4 Temperature: 300 K Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 500 mM CaCl<sub>2</sub> part 1
DOI: 10.5281/zenodo.5781833
title: Timeseries of lake margin, lake area, water level, mascon solutions of Lago Greve

description: These are the dataset of timeseries of lake extent, lake area, water level, and mass around the lake, of Lago Greve presented in the study. 1. Lake extent<br> Filename: LagoGreve.shp<br> Note: LagoGreve.cpg, LagoGreve.dbf, LagoGreve.prj, LagoGreve.shx are also needed. 2. Timeseries of lake area<br> Filename: LakeArea_LagoGreve.csv 3. Timeseries of water level<br> Filename: Lakelevel_LagoGreve.csv 4. Timeseries of grace mascon solution<br> Filename: MeanMasconLagoGreve_CSRv06.csv 5. Fitting model for mascon solution<br> Filename: MeanMasconFitting.csv
DOI: 10.6084/m9.figshare.16908859.v1
title: The Effect of Siamese Pumpkin and Tuna-Based Sow (CHAGURO) Data

description: This data is the result of research:The Effect of Siamese Pumpkin and Tuna-Based Sow (CHAGURO) Diet Improves HbA1c, HDL-C, and Chol/HDL Ratio in Prediabetes Individuals with Dyslipidemia
DOI: 10.6084/m9.figshare.19710601
title: Supplementary Material for: Clinical Practice Guidelines for Hepatic Arterial Infusion Chemotherapy with a Port System Proposed by the Japanese Society of Interventional Radiology and Japanese Society of Implantable Port Assisted Treatment

description: Hepatocellular carcinoma is one of the leading causes of cancer-related death not only in Japan, but also worldwide. In the advanced stage, hepatic arterial infusion chemotherapy (HAIC) is one of the most commonly used treatment options for liver cancer in Japan and implantation of a catheter system (called a port system) in the body is a treatment method that has evolved mainly in Japan. The Guideline Committee of the Japanese Society of Interventional Radiology and the Japanese Society of Implantable Port Assisted Treatment jointly developed clinical practice guidelines for HAIC with a port system to ensure its appropriate and safe performance and these were published in Japanese in 2018. We have now written an updated English version of the guidelines with the aim of making this treatment widely known to experts around the world. In this article, the evidence, method, indication, treatment regimen, and maintenance of the system are summarized.
DOI: 10.17632/5ntvrdmxjx.1
title: Base de datos del estudio "Prácticas de autocuidado que realizan pacientes con diabetes mellitus tipo 2 de Cartagena, Colombia. 2021" 

description: Base de datos del estudio "Prácticas de autocuidado que realizan pacientes con diabetes mellitus tipo 2 de Cartagena, Colombia. 2021" . Registro de información sociodemográficos y de la encuesta utilizada en las dimensiones de autocuidado en pacientes con la patologia con su libro de códigos.
DOI: 10.5281/zenodo.1425505
title: Dataset For Measuring Turbulent Co2 Fluxes With A Closed-Path Gas Analyzer In A Marine Environment (2018)

description: Dataset for Honkanen et al. (2018). The package contains .csv datafile and .pdf readme file.

Included .csv file consists of CO2 flux and additional data measured at the Utö Atmospheric and Marine Research Station (59°46’55” N, 21°21’27” E) during July-October 2017. The file is comma-separated and its headers describe the variable name and the units: see readme file for more information about the columns. Missing values are indicated with -999. For more information, the reader is referred to Honkanen et al. (2018).

Honkanen, M., Tuovinen, J.-P., Laurila, T., Mäkelä, T., Hatakka, J., Kielosto, S., and Laakso, L.: Measuring turbulent CO<sub>2</sub> fluxes with a closed-path gas analyzer in marine environment, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2018-61, in review, 2018.
DOI: 10.5281/zenodo.6333548
title: MD simulation of POPC bilayer with CHARMM36 force field. 5 w/l.

description: MD simulation of POPC (1-palmitoyl-2-oleoyl-phosphatidylcholine) bilayer with CHARMM36 force field. 5 w/l. Dataset contains simulation files including trajectories (.xtc) (original production.xtc and equilibrated and centered centered-350-1000ns.xtc). System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 1000 Simulation time: 1000 ns Sampling rate: 10 ps Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.5281/zenodo.6335769
title: MD simulation of POPC bilayer with CHARMM36 force field. 20 w/l.

description: MD simulation of POPC (1-palmitoyl-2-oleoyl-phosphatidylcholine) bilayer with CHARMM36 force field. 20 w/l. Dataset contains simulation files including trajectories (.xtc) (original production.xtc, and equilibrated and centered centered-pbcmol-100-500ns.xtc). System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 4000 Simulation time: 500 ns Sampling rate: every 10 ps Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.5281/zenodo.6346717
title: MD simulation of POPC bilayer with OPLS3e force field, 50 mM CaCl2 part 2

description: MD simulation of POPC bilayer with OPLS3e force field, 50 mM CaCl<sub>2</sub> part 2 (500-1000ns) Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory, topology (-out.cms), and other files. For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_cacl50_x-xns.tar.gz) System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: CaCl<sub>2</sub> Concentration: 50 mM Number of cations: 8 Simulation time: 1000 ns (in this dataset 500-1000ns) Simulation engine: Desmond 2019-4 Temperature: 300 K Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 50 mM CaCl<sub>2</sub> part 1
DOI: 10.5281/zenodo.6362617
title: Dataset- Barking up the right tree: Using tree bark to track airborne particles in school environment and link science to society

description: Experimental data regarding magnetic properties measured in bio-sensors and air filters. Bio-sensors include tree bark samples, either collected in situ (courtyard tree bark) and exposed indoors-outdoors (bio-sensors) in the schools. Bio-sensors had their magnetic properties measured. PM1, EC and OC concentrations and SIRM measured on air filters.
DOI: 10.5281/zenodo.6364498
title: MD simulation of POPC bilayer with OPLS3e force field, 500 mM NaCl part 2

description: MD simulation of POPC bilayer with OPLS3e force field, 500 mM NaCl part 2 Dataset contains trajectories (_trj) for the last 500ns of the 1000ns trajectory, topology (-out.cms) and other files. For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_nacl500_x-xns.tar.gz) System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: NaCl Concentration: 500 mM Number of cations: 80 Simulation time: 1000 ns (in this dataset 500-1000ns of original trajectories) Simulation engine: Desmond 2019-4 Temperature: 300 K Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 500 mM NaCl part 1
DOI: 10.5281/zenodo.6622042
title: Internal morphology point clouds of lunar pits

description: This archive contains point clouds showing the internal geometry of six pits on the Moon. These point clouds were generated via manual feature matching in "oblique stereo pairs": pairs of Lunar Reconnaissance Orbiter Narrow Angle Camera (LROC NAC) images at two different off-nadir angles observing one wall of a pit under similar lighting conditions. These images have pixel scales of ~0.3-2.2 m/pixel, allowing the creation of point clouds with point spacing on the order of 5-10 m, depending on the density of identifiable features on the pit walls. The manually-generated point clouds from multiple stereo pairs have been merged together, and aligned to and merged with dense digital terrain models (DTMs) from more nadir-looking NAC stereo images where available, to produce point clouds that cover the upper walls, floors, and immediate surroundings of the pits. For a full description of the processing method, see Wagner and Robinson (2022), linked in this archive's metadata. This archive contains models for the following pits:<br> Lacus Mortis Pit (LMP)<br> Mare Ingenii Pit (MIP)<br> Mare Tranquillitatis Pit (MTP)<br> Marius Hills Pit (MHP)<br> Schlüter Crater Pit (SCP)<br> Southwest Mare Fecunditatis Pit (SWFP)
description: {"references": ["Wagner, R. V. & Robinson, M. S. (2022). Lunar Pit Morphology: Implications for Exploration, JGR Planets. https://doi.org/10.1029/2022JE007328"]}
DOI: 10.5286/isis.e.rb1920057
title: Exploring the Catalytic Pathway of Butane Isomerisation

description: The petrochemical industry accounts for a large proportion of global chemical industry, as such even subtle improvements in product yield can result in significant economic and environmental benefits. This has led to significant investigation into microporous solid acid catalysts, such as zeolites and aluminophosphates, which are used for many key petrochemical processes. Isobutane is the only natural gas liquid manufactured from another natural gas liquid; n-butane, thus butane isomerisation is a key reaction in petrochemical processing. We intend to observe interactions between n-butane (reactant), isobutane (product) and a C8 species (intermediate) and a Zeolite catalyst (Mordenite) to focus on acid-substrate interactions. This will be complemented by observing a quenched reaction mixture (prepared offline) to contrast with the prepared mixtures to look at the catalytic pathway.
DOI: 10.5281/zenodo.6619080
title: MD simulation of POPC bilayer with OPLS3e force field, 1000 mM CaCl2 part 1

description: MD simulation of POPC bilayer with OPLS3e force field, 1000 mM CaCl<sub>2</sub> part 1 Dataset contains trajectories (_trj) for the first 500ns of the 1000ns trajectory, topology (-out.cms) and input files (.cfg, .msj, .cms). For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_cacl1000_x-xns.tar.gz). Dataset also contains Gromacs converted files (.xtc, .gro and .top). Converted trajectories is also for the first 500 ns of 1000 ns, and are as 100 ns pieces for analysis since simulation did not equilibrate during 1000 ns. System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: CaCl<sub>2</sub> Concentration: 1000 mM Number of cations: 160 Simulation time: 1000 ns (in this dataset 0-500ns) Simulation engine: Desmond 2019-4 Temperature: 300 K Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 1000 mM CaCl<sub>2</sub> part 2