cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7281/t1/1ecvb0/c7feuv
title: DustOff-monthly-average_wrfout_d01_2013-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/cw9ovm
title: DustOn-monthly-average_wrfout_d01_2002-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/efpybd
title: DustOff-monthly-average_wrfout_d01_2013-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/fg2xh6
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-04_18_std.nc
DOI: 10.7281/t1/1ecvb0/g9pv8l
title: DustOff-monthly-average_wrfout_d01_2013-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/huh7rj
title: DustOn-monthly-average_wrfout_d01_2002-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/hv4ks8
title: DustOff-monthly-average_wrfout_d01_2013-10_12_mean.nc
DOI: 10.7281/t1/1ecvb0/jiubnb
title: DustOff-monthly-average_wrfout_d01_2013-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/jp6zcw
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-03_18_std.nc
DOI: 10.7281/t1/1ecvb0/kfl66b
title: DustOff-monthly-average_wrfout_d01_2013-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/koxrpb
title: DustOn-monthly-average_wrfout_d01_2002-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/lettsl
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-10_18_std.nc
DOI: 10.7281/t1/1ecvb0/mjsqsm
title: DustOn-monthly-average_wrfout_d01_2002-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/puwvtk
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-03_06_std.nc
DOI: 10.7281/t1/1ecvb0/sd11wu
title: DustOff-monthly-average_wrfout_d01_2013-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/vsck7d
title: DustOn-monthly-average_wrfout_d01_2002-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/x1mxn4
title: DustOff-monthly-average_wrfout_d01_2013-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/xz3onh
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-04_06_std.nc
DOI: 10.17632/bkdrhhyrmn.1
title: CORNEAL ABERRATIONS AFTER REFRACTIVE SURGERY

description: CORNEAL ABERRATIONS AFTER CORNEAL SURGERY
DOI: 10.25345/c5798t
title: MassIVE MSV000085265 - Bronchioalveolar Lavage Fluid from Lung Transplant Patients
title: A collection of BAL washing metabolomes extracted with methanol. These samples were collected from patients with various chronic lung diseases such as cystic fibrosis, idiopathic pulmonary fibrosis, and chronic obstructive pulmonary disease.
DOI: 10.7281/t1/1ecvb0/4su6bs
title: DustOff-monthly-average_wrfout_d01_2014-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/5w7zou
title: DustOff-monthly-average_wrfout_d01_2014-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/8rzgcw
title: DustOn-monthly-average_wrfout_d01_2002-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/9h8rlc
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-05_06_std.nc
DOI: 10.7281/t1/1ecvb0/aak7r1
title: DustOn-monthly-average_wrfout_d01_2002-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ar7dmn
title: DustOff-monthly-average_wrfout_d01_2014-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/bjqntv
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-08_06_std.nc
DOI: 10.7281/t1/1ecvb0/bme8na
title: DustOff-monthly-average_wrfout_d01_2014-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/e4nucq
title: DustOff-monthly-average_wrfout_d01_2014-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ghpbtq
title: DustOn-monthly-average_wrfout_d01_2002-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/holyxy
title: DustOn-monthly-average_wrfout_d01_2002-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/j9xd5r
title: DustOff-monthly-average_wrfout_d01_2014-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/jlfp83
title: DustOn-monthly-average_wrfout_d01_2002-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/jqbdka
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-09_12_std.nc
DOI: 10.7281/t1/1ecvb0/mjmtak
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-04_00_std.nc
DOI: 10.7281/t1/1ecvb0/pk5a98
title: DustOn-monthly-average_wrfout_d01_2002-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/qsewcg
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-09_00_std.nc
DOI: 10.7281/t1/1ecvb0/s9u02o
title: DustOn-monthly-average_wrfout_d01_2002-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/tur0iq
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-10_12_std.nc
DOI: 10.7281/t1/1ecvb0/vuycme
title: DustOff-monthly-average_wrfout_d01_2014-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/xg62ca
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-10_00_std.nc
DOI: 10.7281/t1/1ecvb0/z8ywiw
title: DustOn-monthly-average_wrfout_d01_2002-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/zlcjbl
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-08_18_std.nc
DOI: 10.7281/t1/1ecvb0/zlvxfp
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-04_12_std.nc
DOI: 10.7281/t1/1ecvb0/zzdouq
title: DustOff-monthly-average_wrfout_d01_2014-07_18_mean.nc
DOI: 10.17632/5h348ndydg.1
title: FACt: FORTRAN toolbox for calculating fluctuations in atomic condensates

description: We develop a FORTRAN code to compute fluctuations in atomic condensates (FACt) by solving the Bogoliubov–de Gennes (BdG) equations for two component Bose–Einstein condensate (TBEC) in quasi-two dimensions. The BdG equations are recast as matrix equations and solved self consistently. The code is suitable for handling quantum fluctuations as well as thermal fluctuations at temperatures below the critical point of Bose–Einstein condensation. The code is versatile, and the ground state density profile and low energy excitation modes obtained from the code can be easily adapted to compute different properties of TBECs — ground state energy, overlap integral, quasi particle amplitudes of BdG spectrum, dispersion relation and structure factor and other related experimental observables.
DOI: 10.17632/cydmwsfztj.2
title: A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry

description: Data related to the publication: "A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry". Damond N, Engler S, Zanotelli VRT, Schapiro D, Wasserfall CH, Kusmartseva I, Nick HS, Thorel F, Herrera PL, Atkinson MA and Bodenmiller B. Cell Metab. 2019 Mar 5;29(3):755-768.e5. https://doi.org/10.1016/j.cmet.2018.11.014 We used imaging mass cytometry to simultaneously image 37 biomarkers with single-cell and spatial resolution in pancreas sections from 12 human donors at different stages of type 1 diabetes. CODE: - Python script for coordinate transformation - Functions for custom histoCAT neighborhood analysis DATA: - Single-cell data - Islet-level data - Cell type information - Cell relationships (cell-cell neighborhoods and cell-islet relationships) - Donors and image metadata. - Subset containing the data for 100 images from 3 donors IMAGES: - Image stacks (37 channels) for all donors (one .7z file per donor, numbers indicate nPOD case IDs) - Cell masks - Panel file with information related to antibodies and metal tags - Metadata file linking donor information to images - Metadata file linking image stack slices and panel information - Subset containing 100 images from 3 donors
DOI: 10.17632/n2dvz7htvn.1
title: Mirheo: High-performance mesoscale simulations for microfluidics

description: The transport and manipulation of particles and cells in microfluidic devices has become a core methodology in domains ranging from molecular biology to manufacturing and drug design. The design and operation of such devices can benefit from simulations that resolve flow-structure interactions at sub-micron resolution. We present a computational tool for large scale, efficient and high throughput mesoscale simulations of fluids and deformable objects at complex microscale geometries. The code employs dissipative particle dynamics for the description of the flow coupled with visco-elastic membrane model for red blood cells and can also handle rigid bodies and complex geometries. The software (Mirheo) is deployed on hybrid GPU/CPU architectures exhibiting unprecedented time-to-solution performance and excellent weak and strong scaling for a number of benchmark problems. Mirheo exploits the capabilities of GPU clusters, leading to speedup of up to 10X in terms of time to solution as compared to state-of-the-art software packages and reaches 90%–99% weak scaling efficiency on 512 nodes of the Piz Daint supercomputer. The software Mirheo relies on a Python interface to facilitate the solution and analysis of complex problems. Mirheo is an open source, potent computational tool that can greatly assist studies of microfluidics.
DOI: 10.17632/wr4mgv35j5.1
title: Implementation of dynamic coupling in hybrid Molecular Dynamics–Lattice Boltzmann approach: Modeling aggregation of amphiphiles

description: Amphiphile-based aggregates are extensively used in numerous applications for encapsulation, storage, transport and delivery of toxic, active molecules due to the structural properties of the aggregates. The properties of the aggregates in turn are dictated by the molecular architecture of the amphiphiles. A complete understanding of the multiscale architecture–structure–function relationship for amphiphile-based aggregates requires the simultaneous resolution of the self-assembly of amphiphilic molecules along with an understanding of the role of various long range physical interactions including hydrodynamics. A multiscale computational approach such as the hybrid Molecular Dynamics–Lattice Boltzmann technique is able to fulfill most of those requirements. However, existing implementations only account for static coupling between the Molecular Dynamics technique and the Lattice Boltzmann method, and hence are unable to resolve the changes in the solvent-amphiphile interface during processes such as self-assembly and interfacial adsorption. In this study, a new implementation incorporating a dynamic coupling scheme between the Molecular Dynamics technique and the Lattice Boltzmann method is introduced so as to resolve dynamical changes in interfaces. The application of the new implementation to the self-assembly of phospholipids yields results which are in good agreement with computation, experiments and theory. In particular, we found the scaling exponent α of the cluster number (N(t) = C t^α) to be ~1. The previous version of this program (AEPH_v1_0) may be found at http://dx.doi.org/10.1016/j.cpc.2013.03.024.
DOI: 10.17632/y7jth5hznv.1
title: NLOX, a one-loop provider for Standard Model processes

description: NLOX is a computer program for calculations in high-energy particle physics. It provides fully renormalized scattering matrix elements in the Standard Model of particle physics, up to one-loop accuracy for all possible coupling-power combinations in the strong and electroweak couplings, and for processes with up to six external particles.
DOI: 10.7281/t1/1ecvb0/82zwwe
title: DustOff-monthly-average_wrfout_d01_2014-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/90bpvc
title: DustOn-monthly-average_wrfout_d01_2003-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/ac21ms
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-06_18_std.nc
DOI: 10.7281/t1/1ecvb0/amohod
title: DustOff-monthly-average_wrfout_d01_2014-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/doxbrl
title: DustOn-monthly-average_wrfout_d01_2003-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/eipte7
title: DustOff-monthly-average_wrfout_d01_2014-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/eqv1m7
title: DustOn-monthly-average_wrfout_d01_2002-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/fmuut3
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-06_12_std.nc
DOI: 10.7281/t1/1ecvb0/hvbllj
title: DustOn-monthly-average_wrfout_d01_2003-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/lsaroh
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-06_06_std.nc
DOI: 10.7281/t1/1ecvb0/ma52dp
title: DustOn-monthly-average_wrfout_d01_2003-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/mdlize
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-07_06_std.nc
DOI: 10.7281/t1/1ecvb0/mpykzi
title: DustOff-monthly-average_wrfout_d01_2014-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/nvydxn
title: DustOn-monthly-average_wrfout_d01_2003-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ob8z0p
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-05_18_std.nc
DOI: 10.7281/t1/1ecvb0/pj6ecc
title: DustOff-monthly-average_wrfout_d01_2014-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/qz20b6
title: DustOff-monthly-average_wrfout_d01_2014-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/rg6cvm
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-07_12_std.nc
DOI: 10.7281/t1/1ecvb0/s3o0ys
title: DustOn-monthly-average_wrfout_d01_2003-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/siym0z
title: DustOn-monthly-average_wrfout_d01_2003-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/uu9czf
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-06_00_std.nc
DOI: 10.7281/t1/1ecvb0/vaaqsx
title: DustOn-monthly-average_wrfout_d01_2003-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/vlci9u
title: DustOff-monthly-average_wrfout_d01_2014-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/zqlxbp
title: DustOff-monthly-average_wrfout_d01_2014-03_06_mean.nc
DOI: 10.17632/2wdfyhb3wy.1
title: Nursing Retention

description: There is a perpetual challenge of nurse retention in rural areas in many countries and has major consequences on the accessibility of health services in rural areas. The focus of the study will be in central Alberta. The purpose of this research is to identify the factors that affect nurse retention and how the organizational culture and academic preparation affect nurse retention in rural areas. Additionally, this exploration will be key in identifying strategies that may be utilized in dealing with the nurse retention. Mixed methodology will be utilized in this research including the following steps: a qualitative method comprising of initial set of interviews, followed by a survey from a larger sample of registered nurses who graduated within the last 2 years. The questions in the survey will be informed by the responses from the initial interviews. Literature review on rural nursing retention and recruitment challenge will be done on studies that have been done on this subject matter in other jurisdictions within rural and urban Canada. Gaps will be identified in the studies that have been done. Findings from the study will be shared with AHS for consideration and will inform the need for future studies in this subject area. Keywords: retention and recruitment, organizational factors, academic factors, qualitative themes, qualitative data, mixed methodology
DOI: 10.17632/9gy6k69hph.1
title: Pastoral land use and livestock

description: Datasets include pastoral mobility, land use, livestock, household data from Turgen soum of Uvs and Delgertsogt soum of Dundgovi aimag in Mongolia. Data were gathered over the course of the period between July and September, 2019 in Mongolia using a survey questionnaire containing questions related to the movement pattern of animals. The design of the questionnaire was based on the indicators of pastoral land use and mobilities such as grazing orbit, lenght of daily herding movement, and number of camps. From each soum, 100 households, in total 200 responses were collected.
DOI: 10.17632/nwn9vcvcfd.2
title: The Social Networks of Vulnerable Children: A Systematic Review and Narrative Synthesis

description: Systematic Review Data Set
DOI: 10.17632/p62h7nggb4.1
title: pull-out experiments on small-scale wood logs

description: This data-set contains results from pull-out experiments on small-scale Salix cuttings. The folder "uprooting tests" contains the values of the uprooting force recorded over time. Values of the total root length of each sample are illustrated in an excel file: "max_uprooting_force-root length". The values of the total root surface area of each sample can be found in the folder: "root surface area". Data are divided according to the uprooting time. Data about the above-ground biomass of the samples can be found in the files excel: "cuttings_growth" and "stem_length-volume".
DOI: 10.17632/t86fp5d45w.2
title: Very Low Frequency radio signal amplitude from the Indian navigational transmitter VTX received at Kolkata (Calcutta University) from 2019-04-25 to 2019-05-07 during the Extremely Severe Cyclone Fani of May, 2019

description: The ZIP file contains Very Low Frequency radio signal amplitude at frequency 18.2 kHz received at Kolkata before, during and after the extremely severe cyclone Fani of May 2019 over northeastern part of the Indian Ocean. The Vertical component of VLF electric field is captured using a 3.65 metre E-field whip antenna, which is then amplified by an OP-AMP amplifier circuit before feeding into the sound card of the computer for analog to digital conversion. SpectrumLab V2.9 software is used to record the amplitude of the VLF field at desired frequency at a sampling rate of 5 Hz. The data are helpful to understand the effects of the cyclonic storm on the lower ionosphere. The ZIP file contains 13 days data and details can also be found in each file. Purpose: These data were collected to study the effects of the tropical cyclone on the lower ionosphere. Atmospheric gravity waves from the cyclone can propagate upward up to the ionospheric heights and disturb the electrical conductivity in the ionosphere. Changes in ionospheric conductivity profiles can be extracted from the VLF received signal.
DOI: 10.7281/t1/1ecvb0/2uhp0d
title: DustOn-monthly-average_wrfout_d01_2003-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/6tmzq4
title: DustOff-monthly-average_wrfout_d01_2014-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/8hasc8
title: DustOn-monthly-average_wrfout_d01_2003-10_12_mean.nc
DOI: 10.7281/t1/1ecvb0/agxnxy
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-05_12_std.nc
DOI: 10.7281/t1/1ecvb0/b2cyeb
title: DustOn-monthly-average_wrfout_d01_2003-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/cojher
title: DustOff-monthly-average_wrfout_d01_2014-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/def5yx
title: DustOff-monthly-average_wrfout_d01_2014-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/hrmec9
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-05_00_std.nc
DOI: 10.7281/t1/1ecvb0/kzrglg
title: DustOff-monthly-average_wrfout_d01_2014-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/lxqj7p
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-09_18_std.nc
DOI: 10.7281/t1/1ecvb0/npj2l1
title: DustOff-monthly-average_wrfout_d01_2014-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/qxcwl2
title: DustOn-monthly-average_wrfout_d01_2003-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/rceaod
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-04_06_std.nc
DOI: 10.7281/t1/1ecvb0/roh6jq
title: DustOn-monthly-average_wrfout_d01_2003-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/smprnz
title: DustOff-monthly-average_wrfout_d01_2014-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/tinemd
title: DustOn-monthly-average_wrfout_d01_2003-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/u6wq6a
title: DustOff-monthly-average_wrfout_d01_2014-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ucxxns
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-09_18_std.nc
DOI: 10.7281/t1/1ecvb0/ulyfud
title: DustOn-monthly-average_wrfout_d01_2003-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/v5qsla
title: DustOff-monthly-standard-deviation_wrfout_d01_2012-07_18_std.nc
DOI: 10.7281/t1/1ecvb0/wz4acf
title: DustOff-monthly-average_wrfout_d01_2014-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/yscbbz
title: DustOn-monthly-average_wrfout_d01_2003-04_06_mean.nc
DOI: 10.17632/pgpgptrcd3.3
title: Data on Local Responses to Early Warning Communications on Flood Prevention in Northern Ghana

description: This data was collected from households with experience of flood hazards and disaster in northern Ghana using interviews and focus group discussions. It comprises both quantitative and qualitative responses from householders, seeking to measure the relationship between early warning communications and local responses to flood risk prevention. There are questions on households' knowledge of early warning communication systems, strategies and channels, households prior exposure to floods, the types of local actions adopted to mitigate flood risk and the nature of post-reconstructions interventions they have been part of. We set out to test the relationship between flood experience and households risk response behaviour using multivariate logistic regressions and bi-variate analysis such as chi-square. We found that flood experience significantly impacted the risk response adopted by householders. Similarly, the emotional state of households significantly influenced the local actions to prevent flood risk. Among the early warning communication channels adopted by disaster authorities, local FM radio proved to be more effective on the decisions of households relative to the adoption of risk mitigation measure. Despite this, based on data from 68 households and 6 separate focus groups, we found that, Early Warning information did not lead to effective local actions in disaster hot spot communities. Households were concerned about loss of properties and lives during flood disasters; nonetheless they were less likely to move away from disaster prone areas, citing factors such as inter-generational belief systems, cost of relocation, soil fertility around the riverbanks and fear of losing ancestral lands.
DOI: 10.7281/t1/1ecvb0/0dbpqi
title: DustOn-monthly-average_wrfout_d01_2003-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/1kjcjb
title: DustOn-monthly-average_wrfout_d01_2003-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/28vtis
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-03_12_std.nc
DOI: 10.7281/t1/1ecvb0/3k2ur5
title: DustOn-monthly-average_wrfout_d01_2003-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/8ztv55
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-04_06_std.nc
DOI: 10.7281/t1/1ecvb0/a5byfr
title: DustOff-monthly-average_wrfout_d01_2014-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/al1lk6
title: DustOff-monthly-average_wrfout_d01_2014-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/bridnb
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-03_00_std.nc
DOI: 10.7281/t1/1ecvb0/fjarbg
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-08_12_std.nc
DOI: 10.7281/t1/1ecvb0/fmotq1
title: DustOn-monthly-average_wrfout_d01_2003-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/givkts
title: DustOn-monthly-average_wrfout_d01_2003-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/hfxtfo
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-10_18_std.nc
DOI: 10.7281/t1/1ecvb0/hhig0r
title: DustOff-monthly-average_wrfout_d01_2014-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/ih9cv7
title: DustOn-monthly-average_wrfout_d01_2003-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/j2gkqo
title: DustOn-monthly-average_wrfout_d01_2003-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/kwgpjd
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-08_00_std.nc
DOI: 10.7281/t1/1ecvb0/mhpa7u
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-08_06_std.nc
DOI: 10.7281/t1/1ecvb0/olx0e4
title: DustOff-monthly-average_wrfout_d01_2014-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/prbwig
title: DustOff-monthly-average_wrfout_d01_2015-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/sw6mpl
title: DustOff-monthly-average_wrfout_d01_2014-10_12_mean.nc
DOI: 10.7281/t1/1ecvb0/vuk6xt
title: DustOff-monthly-average_wrfout_d01_2014-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/w1ctpd
title: DustOn-monthly-average_wrfout_d01_2003-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/yfqep4
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-10_06_std.nc
DOI: 10.7281/t1/1ecvb0/yirm1s
title: DustOff-monthly-average_wrfout_d01_2014-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/yu3rof
title: DustOff-monthly-average_wrfout_d01_2015-04_12_mean.nc
DOI: 10.17632/4hkhvw7y7v.1
title: Sustainable Finance Research Dataset (1992-2019)

description: The sustainable finance reseach & publication dataset, which was indexed by Scopus from 1992 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.