cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13096553.v1
title: InSAR PWV Iberian

description: Single Look Complex (SLC) images, acquired by the C-band Sentinel-1 space-borne SAR mission in Interferometric Wide swath (IW) mode between February 26 and March 21, 2018 at 0620 and 1820 UTC, taken along the ascending and descending orbits, were processed using the SAR interferometry technique to obtain InSAR-PWV maps. These small maps are merged in one large map of differential PWV values over the Iberian Peninsula.
DOI: 10.6084/m9.figshare.14192669.v2
title: Data from "Experimental evidence of velocity-weakening friction during ice slip over frozen till: implications for basal seismicity in fast moving, soft-bed glaciers and ice streams"

description: Temperature vs time (in RTD files) and displacement, friction, and velocity vs time (sample number files). Experiments of double direct shear ice on till experiments published in SRL article.
DOI: 10.6084/m9.figshare.14192669.v1
title: Data from "Experimental evidence of velocity-weakening friction during ice slip over frozen till: implications for basal seismicity in fast moving, soft-bed glaciers and ice streams"

description: Temperature, displacement, shear and normal stress measurements from double direct shear ice on till experiments published in SRL article.
DOI: 10.6084/m9.figshare.14750841.v1
title: Brain connectivity dynamics metrics in transmen and cisgender young adults obtained through a sliding window approach

description: Database and general linear model results of the "<i>Brain connectivity dynamics in cisgender and transmen people with gender incongruence before gender affirmative hormone treatment</i>" study.<br>The sliding windows approach from Allen et al., (2014) was applied and <i>native</i> and <i>meta</i> states were obtained:<br>- number of transitions- mean dwell time- fractional time- number of meta-states- change of meta-states- meta-state span- total distance<br><br>The gender_dynamics.xlsx contains metrics data and correlational analyses with Spearman's rho outputs.<br>Matlab files (.mat) are the group comparisons outputs from the General Linear Model applied with 1,000 permutation testing. Family-Wise Error correction was applied per each set of measures.
DOI: 10.6084/m9.figshare.12863882.v1
title: Effect of novel coronavirus disease 2019 infection on chronic kidney disease G1-G5, G5 Dialysis and G5 Transplantation

description: Dataset of research article entitled "Effect of novel coronavirus disease 2019 infection on chronic kidney disease G1-G5, G5 Dialysis and G5 Transplantation" is put on figshare repository.
DOI: 10.6084/m9.figshare.14681340.v2
title: Multi_structure_cortical_states_deduced_from_intracellular_representations_of_fixed_tactile_input_patterns

description: Raw data and metadata for the article Multi-structure cortical states deduced from intracellular representations of fixed tactile input patterns
DOI: 10.6084/m9.figshare.14681340.v1
title: Multi_structure_cortical_states_deduced_from_intracellular_representations_of_fixed_tactile_input_patterns

description: Raw data and metadata for the article Multi-structure cortical states deduced from intracellular representations of fixed tactile input patterns
DOI: 10.6084/m9.figshare.13373828.v1
title: Reducing planetary health risks through short-lived climate forcer mitigation by source sector

description: Surface PM<sub>2.5</sub> concentrations from NASA ModelE2-YIBS simulations using year 2005 IIASA GAINS ECLIPSE v5a emissions. The model has 2° x 2.5° latitude by longitude horizontal resolution. The model output is provided for 9 simulations, a control simulation denoted 'CTRL' and 8 mitigation experiments where all air pollutant precursor emissions have been reduced by 50% from 8 key economic sectors. The 50% sector mitigation experiments have been labelled by the source sector for which the emissions have been halved: agriculture (AGR), agricultural waste burning (AWB), domestic (DOM), energy (ENE), industry (IND), transportation (TRA), waste/landfill (WST), shipping (SHP). The global surface PM<sub>2.5</sub> data for each simulation is provided for model output years 15-24, a total of 10 years.
DOI: 10.6084/m9.figshare.3761562.v1890
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1889
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1894
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1893
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.12130980.v99
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.12130980.v98
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.14822859.v1
title: Upload data.xlsx

description: my data is about robinia pseudoacacia leaves and soil physical and chemical index<br>
DOI: 10.25505/fiz.icsd.cc2445vb
title: CSD 1970231: Experimental Crystal Structure Determination

description: Related Article: Haijian Li, Philip Kegler, Evgeny V. Alekseev|2020|Dalton Trans.|49|2244|doi:10.1039/C9DT04750F
DOI: 10.25505/fiz.icsd.cc2445wc
title: CSD 1970232: Experimental Crystal Structure Determination

description: Related Article: Haijian Li, Philip Kegler, Evgeny V. Alekseev|2020|Dalton Trans.|49|2244|doi:10.1039/C9DT04750F
DOI: 10.25505/fiz.icsd.cc24467r
title: CSD 1970243: Experimental Crystal Structure Determination

description: Related Article: Haijian Li, Philip Kegler, Evgeny V. Alekseev|2020|Dalton Trans.|49|2244|doi:10.1039/C9DT04750F
DOI: 10.25505/fiz.icsd.cc24468s
title: CSD 1970244: Experimental Crystal Structure Determination

description: Related Article: Haijian Li, Philip Kegler, Evgeny V. Alekseev|2020|Dalton Trans.|49|2244|doi:10.1039/C9DT04750F
DOI: 10.25505/fiz.icsd.cc24469t
title: CSD 1970245: Experimental Crystal Structure Determination

description: Related Article: Haijian Li, Philip Kegler, Evgeny V. Alekseev|2020|Dalton Trans.|49|2244|doi:10.1039/C9DT04750F
DOI: 10.6084/m9.figshare.3761562.v1900
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc24493q
title: CCDC 1970332: Experimental Crystal Structure Determination

description: Related Article: Gizem Dübek, Franziska Hanusch, Dominik Munz, Shigeyoshi Inoue|2020|Angew.Chem.,Int.Ed.|59|5823|doi:10.1002/anie.201916116
DOI: 10.6084/m9.figshare.3761562.v1899
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc24494r
title: CCDC 1970333: Experimental Crystal Structure Determination

description: Related Article: Gizem Dübek, Franziska Hanusch, Dominik Munz, Shigeyoshi Inoue|2020|Angew.Chem.,Int.Ed.|59|5823|doi:10.1002/anie.201916116
DOI: 10.5517/ccdc.csd.cc24495s
title: CCDC 1970334: Experimental Crystal Structure Determination

description: Related Article: Gizem Dübek, Franziska Hanusch, Dominik Munz, Shigeyoshi Inoue|2020|Angew.Chem.,Int.Ed.|59|5823|doi:10.1002/anie.201916116
DOI: 10.5517/ccdc.csd.cc24496t
title: CCDC 1970335: Experimental Crystal Structure Determination

description: Related Article: Gizem Dübek, Franziska Hanusch, Dominik Munz, Shigeyoshi Inoue|2020|Angew.Chem.,Int.Ed.|59|5823|doi:10.1002/anie.201916116
DOI: 10.5517/ccdc.csd.cc24497v
title: CCDC 1970336: Experimental Crystal Structure Determination

description: Related Article: Gizem Dübek, Franziska Hanusch, Dominik Munz, Shigeyoshi Inoue|2020|Angew.Chem.,Int.Ed.|59|5823|doi:10.1002/anie.201916116
DOI: 10.5517/ccdc.csd.cc244bj5
title: CCDC 1970376: Experimental Crystal Structure Determination

description: Related Article: Avijit Maiti, Jessica Stubbe, Nicolás I. Neuman, Pankaj Kalita, Prakash Duari, Carola Schulzke, Vadapalli Chandrasekhar, Biprajit Sarkar, Anukul Jana|2020|Angew.Chem.,Int.Ed.|59|6729|doi:10.1002/anie.201915802
description: Related Article: Qiutong Xu, Zhonghang Chen, Hui Min, Fen Song, Yu-Xia Wang, Wei Shi, Peng Cheng|2020|Inorg.Chem.|59|6729|doi:10.1021/acs.inorgchem.9b03669
DOI: 10.48370/ofd/ag0ohl/3w6isn
title: Golovinomyces fischerii F-3873.tif

description: :unav
DOI: 10.48370/ofd/ag0ohl
title: Golovinomyces fischeri (S. Blumer) U. Braun R.T.A. Cook, 3873

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.7841426.v5
title: Supplemental data for Androga et al. 2019 Anaerobe 102083. https://doi.org/10.1016/j.anaerobe.2019.102083

description: Supplemental material for Androga et al. 2019 Anaerobe Manuscript: annotated assemblies for 53 Clostridium difficile strains
DOI: 10.6084/m9.figshare.7841426.v4
title: Supplemental material for Androga et al. 2019 Anaerobe

description: Supplemental material for Androga et al. 2019 Anaerobe Manuscript: annotated assemblies for 53 Clostridium difficile strains
DOI: 10.25505/fiz.icsd.cc244pzz
title: CSD 1970731: Experimental Crystal Structure Determination

description: Related Article: Hikaru Hirabaru, Daisuke Kawamoto, Miho Ohnishi, Hiromi Ota, Masahiro Sadakane, Kazumichi Yanagisawa, Takuya Hasegawa, Tadaharu Ueda|2020|Eur.J.Inorg.Chem.|2020|682|doi:10.1002/ejic.201901298
DOI: 10.25505/fiz.icsd.cc244q01
title: CSD 1970732: Experimental Crystal Structure Determination

description: Related Article: Hikaru Hirabaru, Daisuke Kawamoto, Miho Ohnishi, Hiromi Ota, Masahiro Sadakane, Kazumichi Yanagisawa, Takuya Hasegawa, Tadaharu Ueda|2020|Eur.J.Inorg.Chem.|2020|682|doi:10.1002/ejic.201901298
DOI: 10.6084/m9.figshare.4822255.v7
title: Supplemental data for Knight et al. 2019 mBio 10:e00446-19

description: Supplemental data for Knight et al.2019. Evolutionary<br>and genomic insights into<i> Clostridioides difficile</i><br>sequence type 11: a diverse zoonotic and<br>antimicrobial-resistant lineage of global One<br>Health importance. <i>mBio</i> 10:e00446-19<br><br>https://doi.org/10.1128/mBio.00446-19.<br><br>Comprising:Supplementary FiguresSupplementary Tables (including read accessions)<br>Annotated genome assemblies
DOI: 10.25505/fiz.icsd.cc244q23
title: CSD 1970734: Experimental Crystal Structure Determination

description: Related Article: Hikaru Hirabaru, Daisuke Kawamoto, Miho Ohnishi, Hiromi Ota, Masahiro Sadakane, Kazumichi Yanagisawa, Takuya Hasegawa, Tadaharu Ueda|2020|Eur.J.Inorg.Chem.|2020|682|doi:10.1002/ejic.201901298
DOI: 10.6084/m9.figshare.14844222.v1
title: Inherited predation defense strategies in planthopper: Implications for biocontrol and ecosystem evolution

description: Predators can induce morphological plasticity in prey through selection driven by predation risk. However, defense plasticity is rarely reported in insects, let alone trans-generational plasticity, the underlying mechanisms and attention of such plasticity devoted to pest control and ecosystem evolution. Here we examined the morphological plasticity of small brown planthoppers (SBPHs), <i>Laodelphax striatellus</i>, elicited by caged predators, <i>Paederus fuscipes</i> in the parent or F1 generations and uncover the risk cues mediating these effects. We also uncovered the survival outcomes in SBPHs with predator-induced defensive morphological traits by examining their survival probability and behavioral plasticity. Results showed caged predators or predator odor cue could enhance a higher proportion of long-winged, female SBPHs in the parent and F1 generation, but the proportion of males neither short- nor long- winged forms were affected. The visual cue from predators elicited weaker effects. Surprisingly, we discovered these long-winged forms suffer a lower predation rate when attacked by <i>P. fuscipes, </i>owing to an enhanced agility level. Our results suggest the within- and trans-generational plasticity of induced defenses may cause profound effects on SBPH population dynamics and prey-predator interaction. Understanding this interaction and mechanisms may illuminate the context of ecosystem evolution, help to predict pest dispersal or migration, which contributes to pest control.
DOI: 10.25505/fiz.icsd.cc23yp0s
title: CSD 1964935: Experimental Crystal Structure Determination

description: Related Article: Zoran Mazej, Evgeny Goreshnik|2020|Inorg.Chem.|59|2092|doi:10.1021/acs.inorgchem.9b03518
DOI: 10.25505/fiz.icsd.cc23yp1t
title: CSD 1964936: Experimental Crystal Structure Determination

description: Related Article: Zoran Mazej, Evgeny Goreshnik|2020|Inorg.Chem.|59|2092|doi:10.1021/acs.inorgchem.9b03518
DOI: 10.48370/ofd/nbcy5b/qxi5en
title: Golovinomyces fischerii F-3370.tif

description: :unav
DOI: 10.6084/m9.figshare.3761562.v1902
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25505/fiz.icsd.cc23yp2v
title: CSD 1964937: Experimental Crystal Structure Determination

description: Related Article: Zoran Mazej, Evgeny Goreshnik|2020|Inorg.Chem.|59|2092|doi:10.1021/acs.inorgchem.9b03518
DOI: 10.48370/ofd/nbcy5b
title: Golovinomyces fischeri (S. Blumer) U. Braun R.T.A. Cook, 3370

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.3761562.v1901
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.14382035.v14
title: Visibility analyse - ITEM canceled

description: Dataset used for research: LiDAR based method to analyse architectural monuments visibility by pedestrian <br>
DOI: 10.5517/ccdc.csd.cc2458tf
title: CSD 1971284: Experimental Crystal Structure Determination

description: Related Article: Amira Siai, Luzian Hämmerle, Markus Ströbele, David Enseling, Thomas Jüstel, Hans-Jürgen Meyer|2020|Dalton Trans.|49|14133|doi:10.1039/D0DT02126A
DOI: 10.5517/ccdc.csd.cc2458vg
title: CSD 1971285: Experimental Crystal Structure Determination

description: Related Article: Amira Siai, Luzian Hämmerle, Markus Ströbele, David Enseling, Thomas Jüstel, Hans-Jürgen Meyer|2020|Dalton Trans.|49|14133|doi:10.1039/D0DT02126A
DOI: 10.6084/m9.figshare.14382035.v13
title: Visibility analyse

description: Dataset used for research: LiDAR based method to analyse architectural monuments visibility by pedestrian <br>
DOI: 10.6084/m9.figshare.13602551.v2
title: Source data for “Site-Specific Chemical Doping Reveals Electron Atmospheres at the Surfaces of Organic Semiconductor Crystals”

description: These data are source data for the paper of “Site-Specific Chemical Doping Reveals Electron Atmospheres at the Surfaces of Organic Semiconductor Crystals”.<br>
DOI: 10.6084/m9.figshare.13602551.v1
title: Source data for “Site-Specific Chemical Doping Reveals Electron Atmospheres at the Surfaces of Organic Semiconductor Crystals”

description: These data are source data for the paper of “Site-Specific Chemical Doping Reveals Electron Atmospheres at the Surfaces of Organic Semiconductor Crystals”.<br>
DOI: 10.5517/ccdc.csd.cc245ty3
title: CCDC 1971815: Experimental Crystal Structure Determination

description: Related Article: Xiao-Min Li, Long-Zhang Dong, Jiang Liu, Wen-Xin Ji, Shun-Li Li and Ya-Qian Lan|2020|CSD Communication|||
description: Related Article: Xiao-Min Li, Long-Zhang Dong, Jiang Liu, Wen-Xin Ji, Shun-Li Li, Ya-Qian Lan|2020|Cell Press: Chem|6|2272|doi:10.1016/j.chempr.2020.06.007
DOI: 10.25505/fiz.icsd.cc245w5d
title: CSD 1971853: Experimental Crystal Structure Determination

description: Related Article: María Alejandra Gómez Torres, Gilles H. Gauthier, Anna M. Kaczmarek, Marielle Huvé, Pascal Roussel, Valérie Dupray, Lina Yuan, Anastasiya Zadoya, Marie Colmont|2020|Inorg.Chem.|59|5929|doi:10.1021/acs.inorgchem.9b03689
DOI: 10.6084/m9.figshare.14766102.v19
title: antspyt1w helper data

description: downloadable cloud data for testing and processing
DOI: 10.25505/fiz.icsd.cc245w6f
title: CSD 1971854: Experimental Crystal Structure Determination

description: Related Article: Philip A. E. Murgatroyd, Matthew J. Smiles, Christopher N. Savory, Thomas P. Shalvey, Jack E. N. Swallow, Nicole Fleck, Craig M. Robertson, Frank Jäckel, Jonathan Alaria, Jonathan D. Major, David O. Scanlon, Tim D. Veal|2020|Chem.Mater.|32|3245|doi:10.1021/acs.chemmater.0c00453
DOI: 10.48370/ofd/jjflbq/ywp9ox
title: Golovinomyces fischerii F-2404.tif

description: :unav
DOI: 10.25505/fiz.icsd.cc2469g4
title: CSD 1972265: Experimental Crystal Structure Determination

description: Related Article: Qingbo Wang, Wenju Zhou, Weimin Dong, Hang Wen, Biao Wang, Qian Yao, Jing Li, Jiyang Wang|2020|Inorg.Chem.|59|4601|doi:10.1021/acs.inorgchem.9b03711
DOI: 10.6084/m9.figshare.14766102.v18
title: antspyt1w helper data

description: downloadable cloud data for testing and processing
DOI: 10.25505/fiz.icsd.cc24689y
title: CSD 1972229: Experimental Crystal Structure Determination

description: Related Article: Qingran Ding,  Xiaomeng Liu,  Sangen Zhao,  Yusong Wang,  Yanqiang Li,  Lina Li,  Shuai Liu,  Zheshuai Lin,  Maochun Hong,  Junhua Luo|2020|J.Am.Chem.Soc.|142|6472|doi:10.1021/jacs.0c00060
DOI: 10.48370/ofd/jjflbq
title: Golovinomyces fischeri (S. Blumer) U. Braun R.T.A. Cook, 2404

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.14864895.v4
title: Dataset - On the usage of isotope in hydrogeological studies in Indonesia

description: This data repository is related to our submission to Frontiers Water. <br><br>Preprint version of the manuscript is available at RINarxiv preprint server link -&gt; https://rinarxiv.lipi.go.id/lipi/preprint/view/211.<br>Data description:<br>- Raw dataset: dataset-isotope-1-scopus.csv- Main figures: "Figure xxx.jpg"<br>- Supplementary figures: "Supplementary-xxx.jpg"<br>
DOI: 10.6084/m9.figshare.14864895.v3
title: Dataset - On the usage of isotope in hydrogeological studies in Indonesia

description: This data repository is related to our submission to Frontiers Water.<br>