cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5067/aqua/airs/data209
title: Aqua AIRS L2 support product using AIRS IR and AMSU, with-HSB V6
DOI: 10.5067/aqua/airs/data332
title: Aqua AIRS Level 3 Quantized Pentad (5-day) Product using AIRS and AMSU with HSB V6
DOI: 10.5067/aqua/airs/data329
title: Aqua AIRS Level 3 Quantized Monthly Product using AIRS and AMSU with HSB V6
DOI: 10.5067/aqua/airs/data314
title: Aqua AIRS Level 3 Support Multiday (8-day) Product using AIRS and AMSU with HSB V6
DOI: 10.5067/aqua/airs/data305
title: Aqua AIRS Level 3 Support Daily Product using AIRS and AMSU with HSB V6
DOI: 10.5067/aqua/airs/data323
title: Aqua AIRS Level 3 Support Monthly Product using AIRS and AMSU with HSB V6
DOI: 10.5067/aqua/airs/data311
title: Aqua AIRS Level 3 Standard Multiday (8-day) Product using AIRS and AMSU with HSB V6
DOI: 10.5067/aqua/airs/data302
title: Aqua AIRS Level 3 Standard Daily Product using AIRS and AMSU with HSB V6
DOI: 10.5067/aqua/airs/data320
title: Aqua AIRS Level 3 Standard Monthly Product using AIRS and AMSU with HSB V6
DOI: 10.5067/aqua/airs/data204
title: Aqua AIRS L2 cloud-cleared radiances using AIRS IR and AMSU, without-HSB V6
DOI: 10.5067/aqua/airs/data205
title: Aqua AIRS L2 cloud-cleared radiances using AIRS IR-only V6
DOI: 10.5067/aqua/airs/data336
title: AIRS/Aqua Level 3 Monthly CO2 in the free troposphere (AIRS-only), Version 005
DOI: 10.5067/aqua/airs/data333
title: Aqua AIRS Level 3 Quantized Pentad (5-day) Product using AIRS IR-only V6
DOI: 10.5067/aqua/airs/data330
title: Aqua AIRS Level 3 Quantized Monthly Product using AIRS IR-only V6
DOI: 10.5067/aqua/airs/data315
title: Aqua AIRS Level 3 Support Multiday (8-day) Product using AIRS IR-only V6
DOI: 10.5067/aqua/airs/data306
title: Aqua AIRS Level 3 Support Daily Product using AIRS IR-only V6
DOI: 10.5067/aqua/airs/data312
title: Aqua AIRS Level 3 Standard Multiday (8-day) Product using AIRS IR-only V6
DOI: 10.5067/aqua/airs/data334
title: AIRS/Aqua Level 3 8-day CO2 in the free troposphere (AIRS-only), Version 005
DOI: 10.5067/aqua/airs/data335
title: AIRS/Aqua Level 3 Daily CO2 in the free troposphere (AIRS-only), Version 005
DOI: 10.5067/gluv19brb081
title: Methane (CH4) Flux for North America L4 Daily V1
DOI: 10.5067/cq7njrgzv7t9
title: FLDAS Noah Land Surface Model L4 Monthly 0.1 x 0.1 degree for Western Africa (GDAS and RFE2) V001
DOI: 10.5067/omuf7m783r89
title: FLDAS VIC Land Surface Model L4 Monthly 0.25 x 0.25 degree for Eastern Africa (MERRA-2 and CHIRPS) V001
DOI: 10.5067/8ywidp9cz2ks
title: FLDAS VIC Land Surface Model L4 Monthly 0.25 x 0.25 degree for Southern Africa (MERRA-2 and CHIRPS) V001
DOI: 10.5067/7e2vfyf8bygy
title: FLDAS VIC Land Surface Model L4 Monthly 0.25 x 0.25 degree for Western Africa (MERRA-2 and CHIRPS) V001
DOI: 10.5067/xlnq30kmzvhx
title: FLDAS Noah Land Surface Model L4 Monthly 0.1 x 0.1 degree for Eastern Africa (MERRA-2 and CHIRPS) V001
DOI: 10.5067/j36a1h1twn1t
title: FLDAS Noah Land Surface Model L4 Monthly 0.1 x 0.1 degree for Eastern Africa (GDAS and RFE2) V001
DOI: 10.5067/ar7nj3iybvm7
title: FLDAS Noah Land Surface Model L4 Monthly 0.1 x 0.1 degree for Southern Africa (GDAS and RFE2) V001
DOI: 10.5067/h0vvad8f6mx5
title: MERRA-2 tavg1_2d_csp_Nx: 2d,1-Hourly,Time-averaged,Single-Level,Assimilation,COSP Satellite Simulator V5.12.4
DOI: 10.5067/frufxgqhnyqb
title: FLDAS VIC Land Surface Model L4 Monthly 0.25 x 0.25 degree for Western Africa (GDAS and RFE2) V001
DOI: 10.5067/epw7t5uo0c0n
title: MERRA-2 tavgU_3d_cld_Np: 3d,Diurnal,Time-Averaged,Pressure-Level,Assimilation,Cloud Diagnostics V5.12.4
DOI: 10.5067/rs9nfracq33n
title: FLDAS VIC Land Surface Model L4 Monthly 0.25 x 0.25 degree for Southern Africa (GDAS and RFE2) V001
DOI: 10.5067/bif2epdnhd4v
title: FLDAS VIC Land Surface Model L4 Monthly 0.25 x 0.25 degree for Eastern Africa (GDAS and RFE2) V001
DOI: 10.5067/zrsn0ju27dk2
title: MERRA-2 tavgU_3d_mst_Np: 3d,Diurnal,Time-Averaged,Pressure-Level,Assimilation,Moist Processes Diagnostics V5.12.4
DOI: 10.5067/xr8b8y58ovv9
title: FLDAS Noah Land Surface Model L4 Monthly 0.1 x 0.1 degree for Western Africa (MERRA-2 and CHIRPS) V001
DOI: 10.5067/vilt59hi2moy
title: MERRA-2 tavgM_3d_tdt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Temperature Tendencies V5.12.4
DOI: 10.5067/svhpiu7hxeml
title: FLDAS VIC Land Surface Model L4 daily 0.25 x 0.25 degree for Western Africa (GDAS and RFE2), version 001
DOI: 10.5067/xh9s0wjhmtmh
title: FLDAS Noah Land Surface Model L4 daily 0.1 x 0.1 degree for Western Africa (GDAS and RFE2), version 001
DOI: 10.5067/kvimomcuo83u
title: MERRA-2 statD_2d_slv_Nx: 2d,Monthly,Aggregated Statistics,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4
DOI: 10.5067/rzsoltpv7xr0
title: FLDAS VIC Land Surface Model L4 daily 0.25 x 0.25 degree for Eastern Africa (GDAS and RFE2), version 001
DOI: 10.5067/vxrgzfaysut2
title: FLDAS Noah Land Surface Model L4 daily 0.1 x 0.1 degree for Eastern Africa (GDAS and RFE2), version 001
DOI: 10.5067/bjgbwp3v3b2c
title: FLDAS Noah Land Surface Model L4 daily 0.1 x 0.1 degree for Southern Africa (GDAS and RFE2), version 001
DOI: 10.5067/zxtj28tqr1tr
title: MERRA-2 tavg3_3d_mst_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Moist Processes Diagnostics V5.12.4
DOI: 10.5067/mjmksfixsvfg
title: FLDAS VIC Land Surface Model L4 daily 0.25 x 0.25 degree for Southern Africa (GDAS and RFE2), version 001
DOI: 10.5067/measures/gozcards/data3004
title: GOZCARDS Merged Data for Water Vapor Monthly Zonal Averages on a Geodetic Latitude and Pressure Grid v1.01
DOI: 10.5067/zrzgd0dck1cg
title: MERRA-2 tavgM_3d_mst_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Moist Processes Diagnostics V5.12.4
DOI: 10.5067/7fk9seee6vp3
title: GLDAS Noah Land Surface Model L4 3 hourly 1.0 x 1.0 degree Early Product V2.1
DOI: 10.5067/ho9ovzwf3kw2
title: MERRA-2 inst3_3d_chm_Nv: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Carbon Monoxide and Ozone Mixing Ratio V5.12.4
DOI: 10.5067/g90r32a924ym
title: GLDAS Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree Early Product V2.1
DOI: 10.5067/5ovhmff2iav3
title: GLDAS Noah Land Surface Model L4 monthly 0.25 x 0.25 degree Early Product V2.1
DOI: 10.5067/mcm8jkvdo3w3
title: GLDAS Noah Land Surface Model L4 monthly 1.0 x 1.0 degree Early Product V2.1
DOI: 10.5067/trd91yo9s6e7
title: MERRA-2 instU_3d_ana_Np: 3d,Diurnal,Instantaneous,Pressure-Level,Analysis,Analyzed Meteorological Fields V5.12.4
DOI: 10.5067/kmpd4r2a549n
title: GLDAS VIC Land Surface Model L4 3 hourly 1.0 x 1.0 degree Early Product V2.1
DOI: 10.17909/t9-czhh-0492
title: Data from paper

description: Spectroscopic frequency and mode identiﬁcation of γDoradus stars HD 109799 and HD 103257
DOI: 10.5067/472gkytu73qr
title: GLDAS VIC Land Surface Model L4 monthly 1.0 x 1.0 degree Early Product V2.1
DOI: 10.5067/bojstzao2l8r
title: MERRA-2 instU_2d_asm_Nx: 2d,Diurnal,Instantaneous,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4
DOI: 10.5067/g6on3zr1euij
title: GLDAS Noah Land Surface Model L4 Monthly 1.0 x 1.0 degree, Version 1
DOI: 10.5067/0jnjq8zdzrba
title: GLDAS CLM Land Surface Model L4 Monthly 1.0 x 1.0 degree, Version 1
DOI: 10.5067/kvtu1a8bwfsj
title: MERRA-2 instM_2d_int_Nx: 2d,Monthly mean,Instantaneous,Single-Level,Assimilation,Vertically Integrated Diagnostics V5.12.4
DOI: 10.5067/6egrbnebmiys
title: MERRA-2 instU_3d_asm_Np: 3d,Diurnal,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4
DOI: 10.5067/392cvtroxrkw
title: GLDAS VIC Land Surface Model L4 Monthly 1.0 x 1.0 degree, Version 1
DOI: 10.5067/tvj4mhbed39l
title: MERRA-2 instU_2d_gas_Nx: 2d,Diurnal,Instantaneous,Single-Level,Assimilation,Aerosol Optical Depth Analysis V5.12.4
DOI: 10.5067/z7sa0kyutbqs
title: GLDAS VIC Land Surface Model L4 3 Hourly 1.0 x 1.0 degree, Version 1
DOI: 10.5067/dgab3hfeymly
title: MERRA-2 instU_2d_int_Nx: 2d,Diurnal,Instantaneous,Single-Level,Assimilation,Vertically Integrated Diagnostics V5.12.4
DOI: 10.5067/7j0cpw2pf9n9
title: GLDAS Noah Land Surface Model L4 3 Hourly 1.0 x 1.0 degree Subsetted, Version 1
DOI: 10.5067/fc3bvj88y8a2
title: MERRA-2 instU_2d_lfo_Nx: 2d,Diurnal,Instantaneous,Single-Level,Assimilation,Land Surface Forcings V5.12.4
DOI: 10.5067/b6omxpri022j
title: GLDAS VIC Land Surface Model L4 3 hourly 1.0 x 1.0 degree V2.0
DOI: 10.5067/car/data113
title: CAR ARMCAS Level 1C Arctic Cloud Radiation Measurements
DOI: 10.5067/car/data114
title: CAR LEADEX Level 1C Artic Sea Ice and Tundra Radiation Measurements
DOI: 10.5067/car/data115
title: CAR Kuwait Oil Fire Level 1C Kuwait Oil Fire Spectral Reflectance
DOI: 10.5067/car/data116
title: CAR TARFOX Tropospheric Aerosol Radiative Forcing Observational Experiment
DOI: 10.5067/7yp2t2cc9w6m
title: CAR TARFOX BRDF Measurements V2
DOI: 10.5067/rf3r3g9i3uvx
title: CMS (Carbon Monitoring System) Methane (CH4) Flux for North America
DOI: 10.5067/r4k5wueybhsq
title: CAR SCAR-A BRDF Measurements V2
DOI: 10.5067/w92wic96b2cz
title: CAR INTEXB BRDF Measurements V2
DOI: 10.5067/car/data101
title: CAR SnowEx17 Level 1C Snow Mass and Energy Measurements
DOI: 10.5067/sqswdf366ldy
title: CAR ARCTAS_BRDF Measurements V2
DOI: 10.5067/lc621srmi5qu
title: CAR ARMCAS BRDF Measurements V2
DOI: 10.5067/xminaesyyux7
title: CAR CLAMS BRDF Measurements V2
DOI: 10.5067/0jrnk6hdb9zg
title: CAR CLASIC BRDF Measurements V2
DOI: 10.5067/0vr2cw18jixl
title: CAR LEADEX BRDF Measurements V2
DOI: 10.5067/jvhn0sc3bc87
title: CAR SCARB BRDF Measurements V2
DOI: 10.5067/khfvlohocswu
title: CAR FIREACE BRDF Measurements V2
DOI: 10.5067/tltyu661exn6
title: CAR Kuwait Oil Fire BRDF Measurements V2
DOI: 10.5067/3neabmvv58n2
title: CAR SKUKUZA BRDF Measurements V2
DOI: 10.5067/gqeke2o8rjmy
title: CAR SNOWEX17 BRDF Measurements V2
DOI: 10.5067/car/data122
title: CAR INTEXB BRDF Measurements V1
DOI: 10.5067/car/data126
title: CAR CLASIC BRDF Measurements V1
DOI: 10.5067/car/data119
title: CAR ARCTAS_BRDF Measurements V1
DOI: 10.5067/car/data120
title: CAR CLAMS BRDF Measurements V1
DOI: 10.5067/car/data125
title: CAR ECO3D BRDF Measurements V1
DOI: 10.5067/car/data121
title: CAR SAFARI BRDF Measurements V1
DOI: 10.5067/car/data123
title: CAR SCARB BRDF Measurements V1
DOI: 10.5067/z9sjndow30xi
title: CAR ECO3D BRDF Measurements V2
DOI: 10.5067/car/data124
title: CAR SKUKUZA BRDF Measurements V1
DOI: 10.5067/car/data117
title: CAR SNOWEX17 BRDF Measurements V1
DOI: 10.5067/car/data118
title: CAR DiscoverAQ BRDF Measurements V1
DOI: 10.5067/aura/hirdls/data307
title: HIRDLS/Aura Level 3 Water Vapor (H2O) Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data305
title: HIRDLS/Aura Level 3 Chlorine Nitrate (ClONO2) Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data309
title: HIRDLS/Aura Level 3 Nitrous Oxide (N2O) Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data310
title: HIRDLS/Aura Level 3 Dinitrogen Pentoxide (N2O5) Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data311
title: HIRDLS/Aura Level 3 Nitrogen Dioxide (NO2) Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data312
title: HIRDLS/Aura Level 3 Ozone (O3) Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data313
title: HIRDLS/Aura Level 3 Temperature Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data314
title: HIRDLS/Aura Level 3 daily gridded 1 x 1 deg. stratospheric columns of NO2 - version 7
DOI: 10.5067/aura/hirdls/data201
title: HIRDLS/Aura Level 2 Geophysical Parameters - version 7
DOI: 10.5067/aura/hirdls/data301
title: HIRDLS/Aura Level 3 8.3 Micron Extinction Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data302
title: HIRDLS/Aura Level 3 12.1 Micron Extinction Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data303
title: HIRDLS/Aura Level 3 Chlorofluorocarbon-11 (CFC-11) Zonal Fourier Coefficients - version 7
DOI: 10.5067/aura/hirdls/data304
title: HIRDLS/Aura Level 3 Chlorofluorocarbon-12 (CFC-12) Zonal Fourier Coefficients - version 7
DOI: 10.34810/data15/1
title: Readme.txt

description: :unav
DOI: 10.5067/aura/hirdls/data306
title: HIRDLS/Aura Level 3 Geopotential Height Zonal Fourier Coefficients - version 7
DOI: 10.34810/data15/2
title: Indicadores_PlanS_revistasCCSS_espanolas_2019.tab

description: :unav
DOI: 10.5067/aura/hirdls/data308
title: HIRDLS/Aura Level 3 Nitric Acid (HNO3) Zonal Fourier Coefficients - version 7
DOI: 10.5067/m3id6zc0k2lw
title: OMPS/NPP L1B NP Radiance EV Calibrated Geolocated Swath Orbital V2
DOI: 10.5281/zenodo.4048760
title: Learn2Reg Challenge: CT Lung Registration - Test Data

description: For more information about this dataset go to: https://learn2reg.grand-challenge.org/
DOI: 10.5281/zenodo.4273741
title: Ultrasonic Imaging of Spherical Physical Models

description: This dataset contains multiple SEGY format seismic datasets from a series of ultrasonic physical modeling surveys involving spherical bodies in a lab setting. The README document in this repository provides an overview of the available datasets, in raw and processed versions.
DOI: 10.5067/jruz3sj3zj72
title: MERRA-2 tavg3_3d_mst_Ne: 3d,3-Hourly,Time-Averaged,Model-Level Edge,Assimilation,Moist Processes Diagnostics V5.12.4
DOI: 10.5067/n5wakns1uyqn
title: MERRA-2 tavg3_3d_nav_Ne: 3d,3-Hourly,Time-Averaged, Vertical Coordinates V5.12.4
DOI: 10.5067/4i7zi35qrh8k
title: MERRA-2 tavg3_3d_trb_Ne: 3d,3-Hourly,Time-Averaged,Model-Level Edge,Assimilation,Turbulence Diagnostics V5.12.4
DOI: 10.5067/zrrjpgwl8avl
title: MERRA-2 tavg3_3d_trb_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Turbulence Diagnostics V5.12.4
DOI: 10.5067/f9353j0fahih
title: MERRA-2 tavg3_3d_cld_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Cloud Diagnostics V5.12.4
DOI: 10.5067/5v7k6ljd44sy
title: MERRA-2 tavgM_2d_lfo_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings V5.12.4
DOI: 10.5067/3kdjp4su2woe
title: MERRA-2 const_2d_ctm_Nx: Constant land parameters
DOI: 10.5067/tx10urjskt53
title: MERRA-2 tavg3_3d_cld_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Cloud Diagnostics V5.12.4
DOI: 10.5281/zenodo.4279376
title: Ultrasonic Imaging of Spherical Physical Models

description: This dataset contains multiple SEGY format seismic datasets from a series of ultrasonic physical modeling surveys involving spherical bodies in a lab setting. The README document in this repository provides an overview of the available datasets, in raw and processed versions.
DOI: 10.5281/zenodo.4273740
title: Ultrasonic Imaging of Spherical Physical Models

description: This dataset contains multiple SEGY format seismic datasets from a series of ultrasonic physical modeling surveys involving spherical bodies in a lab setting. The README document in this repository provides an overview of the available datasets, in raw and processed versions.
DOI: 10.5067/s0lytk57786z
title: MERRA-2 tavg3_3d_odt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Ozone Tendencies V5.12.4
DOI: 10.5067/a9kwady78yhq
title: MERRA-2 tavg3_3d_qdt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Moist Tendencies V5.12.4
DOI: 10.5067/klnavgax7j66
title: MERRA-2 tavgU_2d_ocn_Nx: 2d,Diurnal,Time-Averaged,Single-Level,Assimilation,Ocean Surface Diagnostics V5.12.4
DOI: 10.5067/afok0tpevqek
title: MERRA-2 tavgU_2d_slv_Nx: 2d,Diurnal,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4
DOI: 10.5067/qpo9e5tpz8of
title: MERRA-2 tavgU_3d_tdt_Np: 3d,Diurnal,Time-Averaged,Pressure-Level,Assimilation,Temperature Tendencies V5.12.4
DOI: 10.5067/2a99c60cg7wc
title: MERRA-2 tavgU_3d_trb_Np: 3d,Diurnal,Time-Averaged,Pressure-Level,Assimilation,Turbulence Diagnostics V5.12.4
DOI: 10.5522/04/13251893
title: I’m alone but not lonely. U-shaped pattern of perceived loneliness during the COVID-19 pandemic in the UK and Greece

description: In the past months, many countries have adopted varying degrees of lockdown restrictions to control the spread of the COVID-19 virus. According to the existing literature, some consequences of lockdown restrictions on people’s lives are beginning to emerge. To inform policies for the current and/or future pandemics, particularly those involving lockdown restrictions, this study adopted a data-driven Machine Learning approach to uncover the short-term effects of lockdown on people’s physical and mental health. An online questionnaire launched on 17 April 2020 was completed by 2,276 people from 66 countries. Focusing on the UK sample (N=382), 10 aggregated variables representing participant’s living environment, physical and mental health were used to train a RandomForest model to predict the week of survey completion. Using an index of importance to identify the best predictor among the 10 variables, self perceived loneliness was identified as the most influential variable. Subsequent statistical analysis showed a significant U-shaped curve for loneliness levels, with a decrease during the 4th and 5th lockdown weeks. The same pattern was replicated in the Greek sample (N = 129). This suggests that for the very first period of time, the adopted lockdown measures affected people’s evaluation of their social support leading to a decreased sense of loneliness.
DOI: 10.5067/r2mpvu4eoswt
title: MERRA-2 tavgU_2d_int_Nx: 2d,Diurnal,Time-Averaged,Single-Level,Assimilation,Vertically Integrated Diagnostics V5.12.4
DOI: 10.5522/04/13251893.v1
title: I’m alone but not lonely. U-shaped pattern of perceived loneliness during the COVID-19 pandemic in the UK and Greece

description: In the past months, many countries have adopted varying degrees of lockdown restrictions to control the spread of the COVID-19 virus. According to the existing literature, some consequences of lockdown restrictions on people’s lives are beginning to emerge. To inform policies for the current and/or future pandemics, particularly those involving lockdown restrictions, this study adopted a data-driven Machine Learning approach to uncover the short-term effects of lockdown on people’s physical and mental health. An online questionnaire launched on 17 April 2020 was completed by 2,276 people from 66 countries. Focusing on the UK sample (N=382), 10 aggregated variables representing participant’s living environment, physical and mental health were used to train a RandomForest model to predict the week of survey completion. Using an index of importance to identify the best predictor among the 10 variables, self perceived loneliness was identified as the most influential variable. Subsequent statistical analysis showed a significant U-shaped curve for loneliness levels, with a decrease during the 4th and 5th lockdown weeks. The same pattern was replicated in the Greek sample (N = 129). This suggests that for the very first period of time, the adopted lockdown measures affected people’s evaluation of their social support leading to a decreased sense of loneliness.
DOI: 10.5067/btsnkajnd3me
title: MERRA-2 tavgU_2d_lfo_Nx: 2d,Diurnal,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings V5.12.4
DOI: 10.5067/4z3yupm81grj
title: MERRA-2 const_2d_ctm_Nx: Constant Model Parameters for Usage by CTM
DOI: 10.6084/m9.figshare.13252034
title: Supplementary Material for: Bilateral Pallidal Stimulation with Directional Leads for Primary Focal Lingual Dystonia

description: There have been limited studies regarding stereotactic and functional neurosurgery for lingual dystonia. Here, we report a patient with primary lingual dystonia who showed significant improvement after bilateral deep brain stimulation (DBS). A 42-year-old woman presented with a 5- to 6-year history of tongue protrusion; however, she lacked a significant medical or medication history before onset. She presented with gradually worsening symptoms and was diagnosed with idiopathic lingual dystonia. Her tongue was injected with botulinum toxin on 6 occasions; however, it had a limited effect. Oral medications were ineffective. She underwent DBS since her involuntary tongue movements were causing nocturnal breathing problems. Directional leads were bilaterally inserted into the internal segment of the globus pallidus (GPi). The directional part of each lead was inserted at the GPi bottom on both sides. The posteromedial contacts were used to deliver stimulation. After 1.5 years, the patient’s Burke-Fahn-Marsden dystonia rating scale score improved from 9 to 1.5 and 2 to 1 for movement and disability, respectively. This case demonstrated the effectiveness of bilateral GPi-DBS. Placing the directional part of the lead in the GPi bottom could improve the stimulation effects.
DOI: 10.6084/m9.figshare.13252034.v1
title: Supplementary Material for: Bilateral Pallidal Stimulation with Directional Leads for Primary Focal Lingual Dystonia

description: There have been limited studies regarding stereotactic and functional neurosurgery for lingual dystonia. Here, we report a patient with primary lingual dystonia who showed significant improvement after bilateral deep brain stimulation (DBS). A 42-year-old woman presented with a 5- to 6-year history of tongue protrusion; however, she lacked a significant medical or medication history before onset. She presented with gradually worsening symptoms and was diagnosed with idiopathic lingual dystonia. Her tongue was injected with botulinum toxin on 6 occasions; however, it had a limited effect. Oral medications were ineffective. She underwent DBS since her involuntary tongue movements were causing nocturnal breathing problems. Directional leads were bilaterally inserted into the internal segment of the globus pallidus (GPi). The directional part of each lead was inserted at the GPi bottom on both sides. The posteromedial contacts were used to deliver stimulation. After 1.5 years, the patient’s Burke-Fahn-Marsden dystonia rating scale score improved from 9 to 1.5 and 2 to 1 for movement and disability, respectively. This case demonstrated the effectiveness of bilateral GPi-DBS. Placing the directional part of the lead in the GPi bottom could improve the stimulation effects.
DOI: 10.5281/zenodo.4279196
title: Case study result data set for Energy Economics article "Demystifying market clearing and price setting effects in low-carbon energy systems"

description: The data set contains country-specific power generation and consumption time series data for the European energy system, including both traditional and new market participants due to cross-sectoral integration. Country codes: ALPHA-3<br> Unit: Megawatt (electric) (interval average values, i.e. MWh/h) <strong>Generation technology types</strong> batteryStorage (Li-Ion) conventionalHydro (aggregated for different equivalent hydropower systems) natural_gas_CC_COND (Combined Cycle Gas Turbine) natural_gas_CC_EXCOND (Combined Cycle Gas Turbine as extraction condensing CHP plant for district heating) natural_gas_GT_COND (Open-Cycle Gas Turbine) natural_gas_GT_EXCOND (Open-Cycle Gas Turbine as extraction condensing CHP plant for industry) offshoreWind (aggregated for different LCOE and IEC wind turbine classes) offshoreWindExplicit (offshore wind generation considered for offshore grid investments in the North Seas area, aggregated for different LCOE classes) onshoreWind (solar PV, aggregated for different LCOE classes) other (geothermal, waste) pumpedHydro (aggregated for different equivalent hydropower systems) solar (solar PV, aggregated for different LCOE classes) uran_ST_COND (steam turbine condensing power plant) <strong>Consumption technology types</strong> BEV (Battery Electric Vehicles, aggregated for different market segments) PHEV (Battery Electric Vehicles, aggregated for different market segments) airConditioning batteryStorage (Li-Ion) conventionalLoad heatPump (aggregated for different combinations of building, e.g. residential and non-residential, and technology, e.g. air-source, ground-source, types) hybridHeatPump (aggregated for different combinations of building, e.g. residential and non-residential, and technology, e.g. air-source, ground-source, types) hybridTruck (Hybrid Overhead-Line truck) largeScaleDirectResistiveHeating (Centralised CHP systems) natural_gas_CC_EXCOND_electrodeHeater natural_gas_CC_EXCOND_heatpumpHeater natural_gas_GT_EXCOND_electrodeHeater natural_gas_GT_EXCOND_heatpumpHeater powerToGas pumpedHydro (aggregated for different equivalent hydropower systems)