cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5465252
title: Synthetic soil temperature time-series

description: The synthetic experiments are implemented to investigate the impact of different environmental conditions on the uncertainty of thermal diffusivity estimates. We generate synthetic temperature fields that represent various types of temperature gradients and fluctuations. This is achieved through forward modeling (i.e., heat-conduction process in a heterogeneous medium using an explicit finite difference method) with initial, top, and bottom boundary conditions set equal to the temperature time series observed at a monitoring site in Alaska during summer (synthetic_data_summer.csv ) and autumn (synthetic_data_autumn.csv ), and by assuming a soil column composed of three layers (i.e., top layer at 0.05–0.1 m, middle layer at 0.1–0.42 m, and bottom layer at 0.42–1.05 m). The thermal diffusivity in the three layers is assumed to be constant over time and equal to 0.16, 0.27 and 0.43 mm<sup>2</sup>s<sup>−1</sup> for the case of summer temperatures and 0.25, 0.75 and 0.6 mm<sup>2</sup>s<sup>−1</sup> for autumn. Each .csv file has 14 columns: first column containes information on the date and time on which temperature was recorded, the remaining 13 columns are soil temperature at 0.05, 0.10, 0.15, 0.20 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95 and 1.05 m below the ground surface. Impact of soil temperature trend and fluctuations on thermal diffusivity estimates is evaluated for various synthetic temperature fields including (a) summer trend and fluctuations (synthetic_data_summer.csv ), (b) detrended fluctuations (synthetic_data_summer_detrended.csv ), (c) smoothed out daily and smaller fluctuations (synthetic_data_summer_noDiurnalFluct.csv), and (d) without fluctuations (synthetic_data_summer_noFluct.csv ).
DOI: 10.6084/m9.figshare.16573475.v1
title: Supplementary material 2 from Radiocarbon signature reveals that most springtails depend on carbon from living plants

description: Data from: Radiocarbon signature reveals that most springtails depend on carbon from living plants
DOI: 10.6084/m9.figshare.16573475
title: Supplementary material 2 from Radiocarbon signature reveals that most springtails depend on carbon from living plants

description: Data from: Radiocarbon signature reveals that most springtails depend on carbon from living plants
DOI: 10.5281/zenodo.5465279
title: TEICatalogs: Corpus of encoded 19th and 20th catalogs

description: This release contains six XML-TEI exhibition catalogs encoded using the Open Source Pipeline created for Artl@s.
description: If you use this software, please cite it as below.
DOI: 10.5281/zenodo.5465278
title: TEICatalogs: Corpus of encoded 19th and 20th catalogs

description: This release contains six XML-TEI exhibition catalogs encoded using the Open Source Pipeline created for Artl@s.
description: If you use this software, please cite it as below.
DOI: 10.21227/xqyb-0f39
title: Experiment 2021 Pulverization-EdgeCloudSim

description: This repository contains code and instruction to reproduce the experiments presented in the paper
DOI: 10.15161/oar.it/74073
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.15129/2887eacb-8ef3-40a4-a0c6-d4fb803db82f
title: Data for: "Automatic target recognition in low resolution foliage penetrating SAR using CNNs and GANs"

description: This dataset was used in the publication "Automatic Target Recognition for Low Resolution Foliage Penetrating SAR Images Using CNNs and GANs". It is a series of images generated by the DCGAN architecture, trained on the CARABAS-II VHF-Band SAR dataset.
DOI: 10.25625/2k7cyg/rbtkho
title: 15105_C08- follow-up - Section 14.1_3.1.0.xml
DOI: 10.25625/2k7cyg/orkxud
title: 15105_C08- follow-up - Section 14.1_3.1.0.html
DOI: 10.25625/2k7cyg/5agrjy
title: 15105.xlsx
DOI: 10.25625/diy4jo/qyzdok
title: 15104_C08- follow-up - Section 14.1_2.0.1.html
DOI: 10.25625/2k7cyg/dz06ub
title: 15105_180121_031126_food_consumption_small.tab
DOI: 10.25625/diy4jo/f7ihvj
title: 15104_C08- follow-up - Section 14.1_2.0.1.xml
DOI: 10.25625/2k7cyg
title: C08- follow-up - Section 14.1

description: comment
DOI: 10.25625/anqlcr/ts4k0m
title: 15103.xlsx
DOI: 10.25625/diy4jo/aiakvo
title: 15104.xlsx
DOI: 10.25625/anqlcr/zmozkl
title: 15103_C08- follow-up - Section 10_2.1.0.xml
DOI: 10.25625/diy4jo/aamibc
title: 15104_150121_044542_food_consumption.tab
DOI: 10.25625/0gepn0/c0spps
title: 15100_C08- follow-up - Section 4-Q4.8_4.9_1.1.0.html
DOI: 10.25625/anqlcr/8gfjje
title: 15103_C08- follow-up - Section 10_2.1.0.html
DOI: 10.25625/diy4jo/vheykt
title: 15104_180121_100625_food_consumption.tab
DOI: 10.25625/0gepn0/v6wahe
title: 15100.xlsx
DOI: 10.25625/anqlcr/dvq5g0
title: 15103_150121_033740_fu_Section10.tab
DOI: 10.25625/diy4jo
title: C08- follow-up - Section 14.1

description: comment
DOI: 10.25625/0gepn0/cr1pp5
title: 15100_C08- follow-up - Section 4-Q4.8_4.9_1.1.0.xml
DOI: 10.25625/anqlcr
title: C08- follow-up - Section 10

description: comment household members
DOI: 10.25625/0gepn0/ynz1qr
title: 15100_291220_055220_fu_section4_sapling.tab
DOI: 10.25625/9u0ie1/fhrqbm
title: 15084_C08- follow-up - Section 4-Q4.1 to Q4.7 _1.1.0.xml
DOI: 10.25625/0gepn0
title: C08- follow-up - Section 4-Q4.8_4.9

description: not tree, but shrub or similar receive
DOI: 10.25625/fqhsby
title: C08- follow-up survey

description: na
DOI: 10.25625/9u0ie1/br9fdk
title: 15084.xlsx
DOI: 10.25625/9u0ie1/r6oiac
title: 15084_C08- follow-up - Section 4-Q4.1 to Q4.7 _1.1.0.html
DOI: 10.25625/9u0ie1/zcujco
title: 15084_291220_052052_fu_section4_cutplant.xls.tab
DOI: 10.25625/9u0ie1
title: C08- follow-up - Section 4-Q4.1 to Q4.7

description: farmers mentions preferences for plantin or specific species and esthetical reason for planting
DOI: 10.25625/fyiwsp/h7n7r4
title: 15082_C08- follow-up - Section 4 - raw_1.1.4.html
DOI: 10.25625/fyiwsp/ot7pod
title: 15082_C08- follow-up - Section 4 - raw_1.1.4.xml
DOI: 10.25625/fyiwsp/vt8ewv
title: 15082.xlsx
DOI: 10.25625/fyiwsp/sn7wd9
title: 15082_221220_094356_fu_Sec4_raw1.xlsx
DOI: 10.25625/fyiwsp/imhznr
title: 15082_221220_094806_fu_Sec4_raw1.xlsx
DOI: 10.25625/fyiwsp/s2wxny
title: 15082_221220_094000_fu_Sec4_raw1.xlsx
DOI: 10.25625/fyiwsp
title: C08- follow-up - Section 4 - raw

description: comment
DOI: 10.25625/9a9pmn/sql0lq
title: 15081_C08- follow-up - Section 13.Q1Q3_1.1.0.html
DOI: 10.25625/9a9pmn/7xehmo
title: 15081_C08- follow-up - Section 13.Q1Q3_1.1.0.xml
DOI: 10.25625/9a9pmn/b8ford
title: 15081.xlsx
DOI: 10.25625/9a9pmn/8foolr
title: 15081_211220_080129_fu_Section13_1_3.tab
DOI: 10.25625/9a9pmn
title: C08- follow-up - Section 13.Q1Q3

description: number of months the business was running in the last 12 months
DOI: 10.25625/txb5sf/dfioph
title: 15080_C08- follow-up - Section 14.2_1.1.0.html
DOI: 10.25625/txb5sf/dtezi8
title: 15080_C08- follow-up - Section 14.2_1.1.0.xml
DOI: 10.25625/txb5sf/r1fqwm
title: 15080.xlsx
DOI: 10.25625/txb5sf/aamlri
title: 15080_211220_060130_fu_SEc14_rest.tab
DOI: 10.25625/txb5sf
title: C08- follow-up - Section 14.2

description: general comments
DOI: 10.25625/abfazw/nrhs5i
title: 15060.xlsx
DOI: 10.25625/abfazw/zpffql
title: 15060_C08- follow-up - Section 14.1_1.0.3.html
DOI: 10.25625/abfazw/kcwync
title: 15060_C08- follow-up - Section 14.1_1.0.3.xml
DOI: 10.25625/abfazw/4tkmcq
title: 15060_211220_043831_food_consumption.csv
DOI: 10.25625/abfazw
title: C08- follow-up - Section 14.1

description: comment
DOI: 10.25625/lsncdo/sttv6f
title: 15040_C08- follow-up - Section 12_1.1.0.xml
DOI: 10.25625/lsncdo/awk5my
title: 15040.xlsx
DOI: 10.25625/lsncdo/5lwc1w
title: 15040_C08- follow-up - Section 12_1.1.0.html
DOI: 10.25625/7y1t24/sqbgqj
title: 15023_C08-follow-up- Section1_1.1.4.xml
DOI: 10.25625/lsncdo/ftd6lc
title: 15040_211220_035118_fu_section12.tab
DOI: 10.25625/7y1t24/vxvn0k
title: 15023.xlsx
DOI: 10.25625/lsncdo
title: C08- follow-up - Section 12

description: if yes, what did you do?
DOI: 10.25625/fodv6h/l8g2z5
title: 15020_C08- follow-up - Section 11_1.1.1.html
DOI: 10.25625/7y1t24/nzoakg
title: 15023_C08-follow-up- Section1_1.1.4.html
DOI: 10.25625/fodv6h/ehxrnb
title: 15020_C08- follow-up - Section 11_1.1.1.xml
DOI: 10.25625/7y1t24/elq35l
title: 15023_211220_032841_C08_fu_Section1.tab
DOI: 10.25625/fodv6h/m0ytio
title: 15020.xlsx
DOI: 10.25625/mcxmkv/vwd4rj
title: 15006.xlsx
DOI: 10.25625/7y1t24/n85dhd
title: 15023_211220_032658_C08_fu_Section1.tab
DOI: 10.25625/fodv6h/7hwmoe
title: 15020_191220_092128_fu_Section11.tab
DOI: 10.25625/mcxmkv/gs65h9
title: 15006_C08- follow-up - Section 10_1.0.0.html
DOI: 10.25625/fodv6h/i29dno
title: 15020_191220_091924_fu_Section11.tab
DOI: 10.25625/7y1t24/yvrcfe
title: 15023_211220_035346_C08_fu_Section1.tab
DOI: 10.25625/mcxmkv/n3sf3a
title: 15006_C08- follow-up - Section 10_1.0.0.xml
DOI: 10.25625/udyqh0/1guwwj
title: 15005.xlsx
DOI: 10.25625/7y1t24/tpvmef
title: 15023_211220_033017_C08_fu_Section1.tab
DOI: 10.25625/fodv6h
title: C08- follow-up - Section 11

description: comment housing conditions
DOI: 10.25625/mcxmkv/6mzqlh
title: 15006_191220_085342_fu_Section10.tab
DOI: 10.25625/udyqh0/ocnkvp
title: 15005_C08- follow-up - Section 9_1.1.2.html
DOI: 10.25625/7y1t24/pyn6ad
title: 15023_211220_032526_C08_fu_Section1.tab
DOI: 10.25625/mcxmkv
title: C08- follow-up - Section 10

description: comment household members
DOI: 10.25625/rlme6n/qcuzzo
title: 15004.xlsx
DOI: 10.25625/udyqh0/swjig8
title: 15005_C08- follow-up - Section 9_1.1.2.xml
DOI: 10.25625/7y1t24
title: C08-follow-up- Section1

description: comment
DOI: 10.25625/rlme6n/db59lb
title: 15004_C08- follow-up - Section 8_1.1.1.xml
DOI: 10.25625/udyqh0/li0oqn
title: 15005_191220_083525_fu_Section9.tab
DOI: 10.25625/rlme6n/nkte3i
title: 15004_C08- follow-up - Section 8_1.1.1.html
DOI: 10.25625/rlme6n/8pqmjv
title: 15004_191220_074529_fu_section8.tab
DOI: 10.25625/udyqh0/y8m6c9
title: 15005_191220_083805_fu_Section9.tab
DOI: 10.25625/udyqh0
title: C08- follow-up - Section 9

description: amount savings other
DOI: 10.25625/rlme6n
title: C08- follow-up - Section 8

description: comment credit
DOI: 10.25625/stocds/bukhxg
title: 15003_191220_071102_fu_Section7.tab
DOI: 10.25625/stocds
title: C08- follow-up - Section 7

description: comemnts on information source
DOI: 10.25625/jlfkpl/erjfwa
title: 15001_191220_044718_Section2_fu.tab
DOI: 10.25625/jlfkpl
title: C08- follow-up - Section 2new

description: How many oil palms do you have in your homegarden?
DOI: 10.25625/xcfyen/zfwqei
title: 15002_191220_064125_fu_section6.tab
DOI: 10.25625/xcfyen
title: C08- follow-up - Section 6

description: comment satisfaction
DOI: 10.25625/dayipd
title: C08- follow-up - Section 5

description: comment
DOI: 10.5281/zenodo.5466149
title: Data set of article : Using hypnosis in competition period to enhance self-confidence and to reduce anxiety among volleyball players

description: Abstract: The aim of our research was to test the influence of hypnosis on the evolution of self-confidence and anxiety. Our sample included (N = 7 volleyball players) of a Tunisian Volleyball Team, aged 16 to 24, were followed daily for four weeks to enjoy their training and followed a program practicing the use of hypnosis. To assess the evolution of the psychological variables, participants completed the following questionnaire based on three measurement times (at the beginning of the experiment, after two weeks and at the end of the four weeks): The Competitive State Anxiety Inventory-2 (CSAI-2). The questionnaire (CSAI-2) was obtained statistically significant from the three times analysis of variance (Alpha = .78). A one-way model ANOVA revealed that hypnosis improved for the athletes (p &lt; .01); self-confidence increased (p &lt; .01) and cognitive anxiety decreased (p &lt; .05). Correlation analysis revealed that changes in hypnosis were moderately related to changes in self-confidence (p &lt; .05).The results of the study showed that hypnosis can enhance self-confidence and reduce cognitive anxiety. These observations allow us to guide future interventions with athletes to strengthen them psychologically. Key words: hypnosis, self-confident, anxiety…
DOI: 10.5281/zenodo.5466148
title: Data set of article : Using hypnosis in competition period to enhance self-confidence and to reduce anxiety among volleyball players

description: Abstract: The aim of our research was to test the influence of hypnosis on the evolution of self-confidence and anxiety. Our sample included (N = 7 volleyball players) of a Tunisian Volleyball Team, aged 16 to 24, were followed daily for four weeks to enjoy their training and followed a program practicing the use of hypnosis. To assess the evolution of the psychological variables, participants completed the following questionnaire based on three measurement times (at the beginning of the experiment, after two weeks and at the end of the four weeks): The Competitive State Anxiety Inventory-2 (CSAI-2). The questionnaire (CSAI-2) was obtained statistically significant from the three times analysis of variance (Alpha = .78). A one-way model ANOVA revealed that hypnosis improved for the athletes (p &lt; .01); self-confidence increased (p &lt; .01) and cognitive anxiety decreased (p &lt; .05). Correlation analysis revealed that changes in hypnosis were moderately related to changes in self-confidence (p &lt; .05).The results of the study showed that hypnosis can enhance self-confidence and reduce cognitive anxiety. These observations allow us to guide future interventions with athletes to strengthen them psychologically. Key words: hypnosis, self-confident, anxiety…
DOI: 10.25625/zawjkv/pddqju
title: 15180.xlsx
DOI: 10.25625/zawjkv/ohwngf
title: 15180_A03_Bungku Meteo Data 2021_4.0.0.html
DOI: 10.25625/zawjkv/e1hzwa
title: 15180_A03_Bungku Meteo Data 2021_4.0.0.xml
DOI: 10.25625/zawjkv
title: A03_Bungku Meteo Data 2021

description: related Qualitymarker
DOI: 10.25625/1jikti/osxt7t
title: 15160.xlsx
DOI: 10.25625/1jikti/jqbbkr
title: 15160_A03_Bungku Meteo Data 2021_1_1.0.0.xml
DOI: 10.25625/1jikti/p5xebu
title: 15160_A03_Bungku Meteo Data 2021_1_1.0.0.html
DOI: 10.25625/1jikti
title: A03_Bungku Meteo Data 2021_1

description: related Qualitymarker
DOI: 10.25625/ufdj84
title: A03_Reki Meteo Data 2020 (1)

description: quality flag maximum soil temperature 3, 30 cm
DOI: 10.25625/o4vbyh/lnlfcj
title: Diplomarbeit_HDG_incnse.pdf

description: :unav
DOI: 10.25625/gpa9bb
title: A03_PTPN6_Office Meteo Data 2020 (1)

description: quality flag maximum soil temperature 3, 30 cm
DOI: 10.25625/hi1cx5
title: A03_Lubuk Meteo Data 2020 (1)

description: quality flag maximum soil temperature 3, 30 cm
DOI: 10.25625/z7h4d1
title: A03_Kabau Meteo Data 2020 (1)

description: quality flag maximum soil temperature 3, 30 cm
DOI: 10.25625/0hkkh0
title: A03_Humusindo Meteo Data 2020 (1)

description: quality flag maximum soil temperature 3, 30 cm
DOI: 10.5281/zenodo.5378128
title: Data for Publication "Sensitivity of precipitation in the highlands and lowlands of Peru to physics parameterization options in WRFV3.8.1"

description: The data are made available as part of the paper "Sensitivity of precipitation in the highlands and lowlands of Peru to physics parameterization options in WRFV3.8.1", submitted to <em>Geoscientific Model Development (GMD) </em>in 2021. This data set incorporates selected postprocessed files needed to reproduce the results presented in the paper. The files are named following the same structure: <br> RR-D02-Kenya-EXPERIMENTNAME-25km3Doms-2008_monthly.nc These are the options available in each case: - EXPERIMENTNAME: Europe, SouthAmerica, Kenya, Micro13 or NoCumulus. These are the <br> names included in Table 1 from the paper. A .txt file including the information about the 175 stations considered for the validation of the WRF experiments is also included. The data is separated with white spaces. The structure of the columns is the following one:<br> STATION LATITUDE LONGITUDE ELEVATION COUNTRY PROVIDER REGION Finally, two .zip files are provided. Scripts.zip includes all the scripts used to read, process and plot the data from the model, and Namelist_files.zip includes all the namelist files used to run the WRF simulations.
DOI: 10.25625/jku6wo/pad2ur
title: 15130_280121_121209_bungku.tab
DOI: 10.25625/jku6wo
title: A03_Bungku Meteo Data 2020 (1)

description: quality flag maximum soil temperature 3, 30 cm
DOI: 10.5281/zenodo.5466463
title: Raw data from Incineration Ash-Inter Comparison Results for Metal Concentrations by ICP-mS method

description: The dataset contains the raw data of all consortium member for metal concentrations on loaded filters. These data relate to the journal article <strong>Novel preparation of a candidate reference material of PM10 and PM2.5 airborne particulate filters loaded with incineration ash. Inter comparison results for metal c</strong>once<strong>ntrations</strong> by Alexandre Bescond, Caroline Oster, Paola Fisicaro, Sharon Goddard, Paul Quincey, Lamprini-Areti Tsakanika, Theopisti Lymperopoulou, Maria Ochsenkuehn-Petropoulou. https://doi.org/10.3390/atmos12010067 Theses datas was produced with ICP-MS devices for the determination of metal concentration on loaded filters. The filters was produced by LNE with an aerosol disperser.
DOI: 10.5281/zenodo.5466462
title: Raw data from Incineration Ash-Inter Comparison Results for Metal Concentrations by ICP-mS method

description: The dataset contains the raw data of all consortium member for metal concentrations on loaded filters. These data relate to the journal article <strong>Novel preparation of a candidate reference material of PM10 and PM2.5 airborne particulate filters loaded with incineration ash. Inter comparison results for metal c</strong>once<strong>ntrations</strong> by Alexandre Bescond, Caroline Oster, Paola Fisicaro, Sharon Goddard, Paul Quincey, Lamprini-Areti Tsakanika, Theopisti Lymperopoulou, Maria Ochsenkuehn-Petropoulou. https://doi.org/10.3390/atmos12010067 Theses datas was produced with ICP-MS devices for the determination of metal concentration on loaded filters. The filters was produced by LNE with an aerosol disperser.
DOI: 10.5517/ccdc.csd.cc28kfpz
title: CCDC 2102131: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and Phil S. Baran|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kjm0
title: CCDC 2102222: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kl5m
title: CCDC 2102270: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and James A. Golen|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kl7p
title: CCDC 2102272: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and James A. Golen|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kl9r
title: CCDC 2102274: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and James A. Golen|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kt7x
title: CCDC 2102489: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and James A. Golen|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kt8y
title: CCDC 2102490: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and James A. Golen|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kx2v
title: CCDC 2102577: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and James A. Golen|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28l2lk
title: CCDC 2102748: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and James A. Golen|2021|CSD Communication|||
DOI: 10.25625/c0yjx6
title: Z02_HRr3_Plot_MeteoData 2020 (2)

description: quality flag internal temperature
DOI: 10.25625/m11yvs
title: Z02_HRr1_Plot_MeteoData 2020 (2)

description: quality flag internal temperature
DOI: 10.25625/a1r0zc
title: Z02_HR4_Plot_MeteoData 2020 (2)

description: quality flag internal temperature
DOI: 10.25625/f1nqdz
title: Z02_HR3_Plot_MeteoData 2020 (2)

description: quality flag internal temperature
DOI: 10.25625/fwlqgt/7u3t3y
title: 15119_Z02_HR2_Plot_MeteoData 2020 (2)_1.1.0.html
DOI: 10.25625/fwlqgt/louqmw
title: 15119_Z02_HR2_Plot_MeteoData 2020 (2)_1.1.0.xml
DOI: 10.25625/fwlqgt/13qj0b
title: 15119.xlsx
DOI: 10.25625/fwlqgt
title: Z02_HR2_Plot_MeteoData 2020 (2)

description: quality flag internal temperature
DOI: 10.25625/44kfuo/yk2uc2
title: 15118_Z02_HR1_Plot_MeteoData 2020 (2)_1.1.0.xml
DOI: 10.25625/44kfuo/kovya5
title: 15118.xlsx
DOI: 10.25625/44kfuo/72idqv
title: 15118_Z02_HR1_Plot_MeteoData 2020 (2)_1.1.0.html
DOI: 10.25625/44kfuo
title: Z02_HR1_Plot_MeteoData 2020 (2)

description: quality flag internal temperature
DOI: 10.25625/xp4oav
title: Z02_HRr4_Plot_MeteoData 2020 (2)

description: quality flag internal temperature
DOI: 10.25625/37fap0/oe4fwx
title: 15116_Z02_HOr3_Plot_MeteoData 2020 (2)_1.1.0.xml
DOI: 10.25625/37fap0/fbfyam
title: 15116.xlsx
DOI: 10.25625/37fap0/lmzwes
title: 15116_Z02_HOr3_Plot_MeteoData 2020 (2)_1.1.0.html
DOI: 10.25625/37fap0
title: Z02_HOr3_Plot_MeteoData 2020 (2)

description: quality flag internal temperature
DOI: 10.6084/m9.figshare.16573646
title: Results from "Lateral Velocity Gradients in the African Lower Mantle Inferred From Slowness Space Observations of Multipathing"

description: Results from "Lateral Velocity Gradients in the African Lower Mantle Inferred From Slowness Space Observations of Multipathing"<br>tar file containing the metadata, sub array results and whole array results.
DOI: 10.6084/m9.figshare.16573646.v1
title: Results from "Lateral Velocity Gradients in the African Lower Mantle Inferred From Slowness Space Observations of Multipathing"

description: Results from "Lateral Velocity Gradients in the African Lower Mantle Inferred From Slowness Space Observations of Multipathing"<br>tar file containing the metadata, sub array results and whole array results.