cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25934/00005944
title: Prediction of disease progression in Duchenne muscular dystrophy

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.4043994
title: Edge turbulence in ISTTOK: a multi-code fluid validation

description: Experimental data from ISTTOK, simulation outputs from GBS, BOUT++/Hermes, and HESEL, and processing scripts used in a paper to be submitted to PPCF.
DOI: 10.6084/m9.figshare.12979104
title: ESM Klinner and Schmaljohann 2020 Manuscript Temperature Departure probability from Temperature change is an important departure cue in nocturnal migrants: controlled experiments with wild-caught birds in a proof-of-concept study

description: The decision-making process of migrating birds at stopover sites is a complex interplay of the innate migration program and both intrinsic and extrinsic factors. While it is well studied how variation in precipitation, wind and air pressure influence this process, there is less evidence of the effects of temperature changes on the departure decision. Thus, we lack knowledge on how the predicted changes due to global climate change in temperature alone may affect the decision-making process during migration. Aiming to fill parts of this gap, we conducted a proof-of-concept study by manipulating the ambient temperature of temporarily confined wild-caught migrant songbirds under constant feeding conditions. In spring, departure probability increased with a 20°C rise in temperature for both a medium-distance migrant (European robin, <i>Erithacus rubecula</i>) and a long-distance migrant (northern wheatear, <i>Oenanthe oenanthe</i>) and in autumn, departure probabilities of the long-distance migrant both decreased with a 20°C rise and increased with a 20°C drop. Consequently, the temperature is an important departure cue influencing the decision-making process of migrating songbirds. Incorporating causal relationships between changes in temperature and departure probability in migration models could substantially improve our ability to predict the effects of climate change on the phenology of migratory birds.
DOI: 10.6084/m9.figshare.12979104.v1
title: ESM Klinner and Schmaljohann 2020 Manuscript Temperature Departure probability from Temperature change is an important departure cue in nocturnal migrants: controlled experiments with wild-caught birds in a proof-of-concept study

description: The decision-making process of migrating birds at stopover sites is a complex interplay of the innate migration program and both intrinsic and extrinsic factors. While it is well studied how variation in precipitation, wind and air pressure influence this process, there is less evidence of the effects of temperature changes on the departure decision. Thus, we lack knowledge on how the predicted changes due to global climate change in temperature alone may affect the decision-making process during migration. Aiming to fill parts of this gap, we conducted a proof-of-concept study by manipulating the ambient temperature of temporarily confined wild-caught migrant songbirds under constant feeding conditions. In spring, departure probability increased with a 20°C rise in temperature for both a medium-distance migrant (European robin, <i>Erithacus rubecula</i>) and a long-distance migrant (northern wheatear, <i>Oenanthe oenanthe</i>) and in autumn, departure probabilities of the long-distance migrant both decreased with a 20°C rise and increased with a 20°C drop. Consequently, the temperature is an important departure cue influencing the decision-making process of migrating songbirds. Incorporating causal relationships between changes in temperature and departure probability in migration models could substantially improve our ability to predict the effects of climate change on the phenology of migratory birds.
DOI: 10.5281/zenodo.4043993
title: Edge turbulence in ISTTOK: a multi-code fluid validation

description: Experimental data from ISTTOK, simulation outputs from GBS, BOUT++/Hermes, and HESEL, and processing scripts used in a paper to be submitted to PPCF.
DOI: 10.34740/kaggle/dsv/1508212
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.9912869
title: Physicochemical and <i>in vitro</i> cytotoxicity evaluation of polymeric drugs for combination cancer therapy

description: Platinum-based drugs are potent anticancer drugs and are effective for the treatment of various cancers. However, they are limited pharmacologically due to toxic side effects, drug resistance and poor water solubility. In order to overcome these limitations, platinum was incorporated onto polyamidoamine carriers together with alendronate and procaine hydrochloride to form a series of conjugates. Cytotoxicity was assessed using the sulforhodamine B assay on MCF-7, MDA-MB-231 and EA.hy926 cell lines. The polymer-drug conjugates showed cytotoxicity which was selective to the cancer cell lines. The free drugs decreased cell density in all cell lines and were nonspecific. These findings indicate that the incorporation of bioactive agents onto polymers can overcome cytotoxicity associated with the drugs. The selective inhibitory effects of the conjugates towards the cancer cell lines suggest that these conjugates are potential therapeutics for combination therapy.
DOI: 10.6084/m9.figshare.9912869.v1
title: Physicochemical and <i>in vitro</i> cytotoxicity evaluation of polymeric drugs for combination cancer therapy

description: Platinum-based drugs are potent anticancer drugs and are effective for the treatment of various cancers. However, they are limited pharmacologically due to toxic side effects, drug resistance and poor water solubility. In order to overcome these limitations, platinum was incorporated onto polyamidoamine carriers together with alendronate and procaine hydrochloride to form a series of conjugates. Cytotoxicity was assessed using the sulforhodamine B assay on MCF-7, MDA-MB-231 and EA.hy926 cell lines. The polymer-drug conjugates showed cytotoxicity which was selective to the cancer cell lines. The free drugs decreased cell density in all cell lines and were nonspecific. These findings indicate that the incorporation of bioactive agents onto polymers can overcome cytotoxicity associated with the drugs. The selective inhibitory effects of the conjugates towards the cancer cell lines suggest that these conjugates are potential therapeutics for combination therapy.
DOI: 10.5281/zenodo.4044212
title: Characterization data for the manuscript "A data-driven perspective on the colours of metal-organic frameworks"

description: Visualize the data in this dataset: open entry.
description: The research was supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement 666983, MaGic), by the NCCR-MARVEL, funded by the Swiss National Science Foundation, and by the Swiss National Science Foundation (SNSF) under Grant 200021\_172759. MA acknowledges the Swiss Commission for Technology and Innovation (CTI) (the SCCER EIP-Efficiency of Industrial Processes) for financial support and the Swiss-Norwegian Beam Line BM01 at European Synchrotron Radiation Facility (ESRF) for the beamtime allocation.
DOI: 10.5517/ccdc.csd.cc1pbdjy
title: CCDC 1559130: Experimental Crystal Structure Determination

description: Related Article: Clève D. Mboyi, Ahmad Daher, Neelab Khirzada, Charles H. Devillers, Hélène Cattey, Paul Fleurat-Lessard, Julien Roger, Jean-Cyrille Hierso|2020|New J.Chem.|44|15235|doi:10.1039/D0NJ02338H
DOI: 10.5517/ccdc.csd.cc1pbdkz
title: CCDC 1559131: Experimental Crystal Structure Determination

description: Related Article: Clève D. Mboyi, Ahmad Daher, Neelab Khirzada, Charles H. Devillers, Hélène Cattey, Paul Fleurat-Lessard, Julien Roger, Jean-Cyrille Hierso|2020|New J.Chem.|44|15235|doi:10.1039/D0NJ02338H
DOI: 10.5517/ccdc.csd.cc1pbdl0
title: CCDC 1559132: Experimental Crystal Structure Determination

description: Related Article: Clève D. Mboyi, Ahmad Daher, Neelab Khirzada, Charles H. Devillers, Hélène Cattey, Paul Fleurat-Lessard, Julien Roger, Jean-Cyrille Hierso|2020|New J.Chem.|44|15235|doi:10.1039/D0NJ02338H
DOI: 10.5517/ccdc.csd.ccwzxf5
title: CCDC 834068: Experimental Crystal Structure Determination

description: Related Article: R. Alizadeh, V. Amani, S. Seyfi, A. Alemohammad, F. Zarepoor, K. Harms|2019|J.Mol.Struct.|1175|450|doi:10.1016/j.molstruc.2018.08.005
DOI: 10.5517/ccdc.csd.cc1zxfgs
title: CCDC 1844576: Experimental Crystal Structure Determination

description: Related Article: Nataliya F. Lazareva, Irina V. Sterkhova, Alexander V. Vashchenko|2021|J.Mol.Struct.|1225|129130|doi:10.1016/j.molstruc.2020.129130
DOI: 10.5517/ccdc.csd.ccwzxg6
title: CCDC 834069: Experimental Crystal Structure Determination

description: Related Article: R. Alizadeh, V. Amani, S. Seyfi, A. Alemohammad, F. Zarepoor, K. Harms|2019|J.Mol.Struct.|1175|450|doi:10.1016/j.molstruc.2018.08.005
DOI: 10.5517/ccdc.csd.cc247pjm
title: CCDC 1973600: Experimental Crystal Structure Determination

description: Related Article: Il'ya A. Cherepanov, Ekaterina S. Trankina, Natalia G. Frolova, Ivan A. Godovikov, Konstantin A. Lyssenko|2020|J.Organomet.Chem.|923|121349|doi:10.1016/j.jorganchem.2020.121349
DOI: 10.5517/ccdc.csd.cc247pkn
title: CCDC 1973601: Experimental Crystal Structure Determination

description: Related Article: Il'ya A. Cherepanov, Ekaterina S. Trankina, Natalia G. Frolova, Ivan A. Godovikov, Konstantin A. Lyssenko|2020|J.Organomet.Chem.|923|121349|doi:10.1016/j.jorganchem.2020.121349
DOI: 10.5517/ccdc.csd.cc247plp
title: CCDC 1973602: Experimental Crystal Structure Determination

description: Related Article: Il'ya A. Cherepanov, Ekaterina S. Trankina, Natalia G. Frolova, Ivan A. Godovikov, Konstantin A. Lyssenko|2020|J.Organomet.Chem.|923|121349|doi:10.1016/j.jorganchem.2020.121349
DOI: 10.5517/ccdc.csd.cc246jyv
title: CCDC 1972497: Experimental Crystal Structure Determination

description: Related Article: Haiwen Wang, Liyun Liang, Zhirong Guo, Hui Peng, Shuang Qiao, Nemai Saha, Daqian Zhu, Wenbin Zeng, Yunyun Chen, Peng Huang, Shijun Wen|2020|iScience|23|101307|doi:10.1016/j.isci.2020.101307
DOI: 10.6084/m9.figshare.8397926.v7
title: AMAR L2+Products_all_cruises

description: ADEON Cruises: AR025, EN615, EN626, and AR040 AMAR L2+ data product. This data contains the Level 2 results computed from the ADEON passive acoustic monitoring data. Level 2 results are sound pressure levels (SPL), sound exposure levels (SEL) computed over different snapshot durations, and SPL/SEL statistics computed over different temporal analysis windows, as described in the ADEON Soundscape and Modelling Metadata Standard. The data is accompanied by folder containing 6 different readme files.
DOI: 10.6084/m9.figshare.8397926.v8
title: AMAR L2+Products_all_cruises

description: ADEON Cruises: AR025, EN615, EN626, and AR040 AMAR L2+ data product. This data contains the Level 2 results computed from the ADEON passive acoustic monitoring data. Level 2 results are sound pressure levels (SPL), sound exposure levels (SEL) computed over different snapshot durations, and SPL/SEL statistics computed over different temporal analysis windows, as described in the ADEON Soundscape and Modelling Metadata Standard. The data is accompanied by folder containing 6 different readme files.
DOI: 10.6084/m9.figshare.12904070
title: Multiple model soil moisture and runoff data over CONUS for 1916-2013

description: This dataset contains data used for the paper "Drought Variability and Trends over the Central United States in the Instrumental Record ".This dataset contains multiple model (VIC, SAC, CATCHMENT and Noah 2.8 ) daily runoff and soil moisure data over CONUS for 1916-2013. The resolution is 0.5 degree lat/lon.Please refer to the readme.txt for more details about the data formats.<br>
DOI: 10.6084/m9.figshare.12904070.v1
title: Multiple model soil moisture and runoff data over CONUS for 1916-2013

description: This dataset contains data used for the paper "Drought Variability and Trends over the Central United States in the Instrumental Record ".This dataset contains multiple model (VIC, SAC, CATCHMENT and Noah 2.8 ) daily runoff and soil moisure data over CONUS for 1916-2013. The resolution is 0.5 degree lat/lon.Please refer to the readme.txt for more details about the data formats.<br>
DOI: 10.6084/m9.figshare.12990683
title: STATA Graphs

description: Graph Files to Accompany STATA Data Files
DOI: 10.6084/m9.figshare.12990683.v1
title: STATA Graphs

description: Graph Files to Accompany STATA Data Files
DOI: 10.6084/m9.figshare.12990677
title: STATA Files and Regressions

description: Do-Files, Data Files for STATA<br><br>Word and Excel files as Deliverables
DOI: 10.6084/m9.figshare.12990677.v1
title: STATA Files and Regressions

description: Do-Files, Data Files for STATA<br><br>Word and Excel files as Deliverables
DOI: 10.6084/m9.figshare.12990659
title: Percentage of Women in Parliament

description: World Bank
DOI: 10.6084/m9.figshare.12990659.v1
title: Percentage of Women in Parliament

description: World Bank
DOI: 10.6084/m9.figshare.11551242
title: Sorghum herbicide tolerance

description: <b>File S1. List of sorghum lines used for different studies. </b>Lines used in each of the studies. <b>File S2. Raw field phenotypic data. </b>Raw ratings of herbicide damage for field plots. <b>File S3. Best linear unbiased estimators for</b> <b>field experiment. </b>Best linear unbiased estimators for each of the lines included in the field study. <b>File S4. Genotypic data. </b>Imputed and LD-filtered genotypic dataset for sorghum biomass panel.
DOI: 10.25345/c53f4f
title: MassIVE Reanalysis Container RMSV000000333 - Four Dataset PTMProphet Reanalysis
DOI: 10.5517/ccdc.csd.cc24d872
title: CCDC 1977993: Experimental Crystal Structure Determination

description: Related Article: Sara Nasiri Sovari, Sandra Vojnovic, Sanja Skaro Bogojevic, Aurelien Crochet, Aleksandar Pavic, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|205|112533|doi:10.1016/j.ejmech.2020.112533
DOI: 10.5517/ccdc.csd.cc24d883
title: CCDC 1977994: Experimental Crystal Structure Determination

description: Related Article: Sara Nasiri Sovari, Sandra Vojnovic, Sanja Skaro Bogojevic, Aurelien Crochet, Aleksandar Pavic, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|205|112533|doi:10.1016/j.ejmech.2020.112533
DOI: 10.5517/ccdc.csd.cc24d894
title: CCDC 1977995: Experimental Crystal Structure Determination

description: Related Article: Sara Nasiri Sovari, Sandra Vojnovic, Sanja Skaro Bogojevic, Aurelien Crochet, Aleksandar Pavic, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|205|112533|doi:10.1016/j.ejmech.2020.112533
DOI: 10.5517/ccdc.csd.cc24d8b5
title: CCDC 1977996: Experimental Crystal Structure Determination

description: Related Article: Sara Nasiri Sovari, Sandra Vojnovic, Sanja Skaro Bogojevic, Aurelien Crochet, Aleksandar Pavic, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|205|112533|doi:10.1016/j.ejmech.2020.112533
DOI: 10.5517/ccdc.csd.cc24d8c6
title: CCDC 1977997: Experimental Crystal Structure Determination

description: Related Article: Sara Nasiri Sovari, Sandra Vojnovic, Sanja Skaro Bogojevic, Aurelien Crochet, Aleksandar Pavic, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|205|112533|doi:10.1016/j.ejmech.2020.112533
DOI: 10.5517/ccdc.csd.cc24d8d7
title: CCDC 1977998: Experimental Crystal Structure Determination

description: Related Article: Sara Nasiri Sovari, Sandra Vojnovic, Sanja Skaro Bogojevic, Aurelien Crochet, Aleksandar Pavic, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|205|112533|doi:10.1016/j.ejmech.2020.112533
DOI: 10.5517/ccdc.csd.cc24d8f8
title: CCDC 1977999: Experimental Crystal Structure Determination

description: Related Article: Sara Nasiri Sovari, Sandra Vojnovic, Sanja Skaro Bogojevic, Aurelien Crochet, Aleksandar Pavic, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|205|112533|doi:10.1016/j.ejmech.2020.112533
DOI: 10.5517/ccdc.csd.cc24d8g9
title: CCDC 1978000: Experimental Crystal Structure Determination

description: Related Article: Sara Nasiri Sovari, Sandra Vojnovic, Sanja Skaro Bogojevic, Aurelien Crochet, Aleksandar Pavic, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|205|112533|doi:10.1016/j.ejmech.2020.112533
DOI: 10.5517/ccdc.csd.cc24hwxg
title: CCDC 1981486: Experimental Crystal Structure Determination

description: Related Article: Zhuoqiang Zhou, Ye Xu, Ming-Xing Li, Emmanuel N. Nfor, Zhao-Xi Wang|2020|Cryst.Growth Des.|20|5760|doi:10.1021/acs.cgd.0c00234
DOI: 10.5517/ccdc.csd.cc24hwyh
title: CCDC 1981487: Experimental Crystal Structure Determination

description: Related Article: Zhuoqiang Zhou, Ye Xu, Ming-Xing Li, Emmanuel N. Nfor, Zhao-Xi Wang|2020|Cryst.Growth Des.|20|5760|doi:10.1021/acs.cgd.0c00234
DOI: 10.5517/ccdc.csd.cc24jldp
title: CCDC 1982152: Experimental Crystal Structure Determination

description: Related Article: Wakano Taniguchi, Jun-ichi Ito, Makoto Yamashita|2020|J.Organomet.Chem.|923|121436|doi:10.1016/j.jorganchem.2020.121436
DOI: 10.5517/ccdc.csd.cc24jlfq
title: CCDC 1982153: Experimental Crystal Structure Determination

description: Related Article: Wakano Taniguchi, Jun-ichi Ito, Makoto Yamashita|2020|J.Organomet.Chem.|923|121436|doi:10.1016/j.jorganchem.2020.121436
DOI: 10.5517/ccdc.csd.cc24jlgr
title: CCDC 1982154: Experimental Crystal Structure Determination

description: Related Article: Wakano Taniguchi, Jun-ichi Ito, Makoto Yamashita|2020|J.Organomet.Chem.|923|121436|doi:10.1016/j.jorganchem.2020.121436
DOI: 10.5517/ccdc.csd.cc24jly7
title: CCDC 1982169: Experimental Crystal Structure Determination

description: Related Article: Zhuoqiang Zhou, Ye Xu, Ming-Xing Li, Emmanuel N. Nfor, Zhao-Xi Wang|2020|Cryst.Growth Des.|20|5760|doi:10.1021/acs.cgd.0c00234
DOI: 10.5517/ccdc.csd.cc24jlz8
title: CCDC 1982170: Experimental Crystal Structure Determination

description: Related Article: Zhuoqiang Zhou, Ye Xu, Ming-Xing Li, Emmanuel N. Nfor, Zhao-Xi Wang|2020|Cryst.Growth Des.|20|5760|doi:10.1021/acs.cgd.0c00234
DOI: 10.5517/ccdc.csd.cc24jmkw
title: CCDC 1982188: Experimental Crystal Structure Determination

description: Related Article: Joachim Delasoie, Aleksandar Pavic, Noémie Voutier, Sandra Vojnovic, Aurelien Crochet, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|204|112583|doi:10.1016/j.ejmech.2020.112583
DOI: 10.5517/ccdc.csd.cc24jmlx
title: CCDC 1982189: Experimental Crystal Structure Determination

description: Related Article: Joachim Delasoie, Aleksandar Pavic, Noémie Voutier, Sandra Vojnovic, Aurelien Crochet, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|204|112583|doi:10.1016/j.ejmech.2020.112583
DOI: 10.5517/ccdc.csd.cc24jmmy
title: CCDC 1982190: Experimental Crystal Structure Determination

description: Related Article: Joachim Delasoie, Aleksandar Pavic, Noémie Voutier, Sandra Vojnovic, Aurelien Crochet, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|204|112583|doi:10.1016/j.ejmech.2020.112583
DOI: 10.5517/ccdc.csd.cc24jmnz
title: CCDC 1982191: Experimental Crystal Structure Determination

description: Related Article: Joachim Delasoie, Aleksandar Pavic, Noémie Voutier, Sandra Vojnovic, Aurelien Crochet, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|204|112583|doi:10.1016/j.ejmech.2020.112583
DOI: 10.5517/ccdc.csd.cc24jmp0
title: CCDC 1982192: Experimental Crystal Structure Determination

description: Related Article: Joachim Delasoie, Aleksandar Pavic, Noémie Voutier, Sandra Vojnovic, Aurelien Crochet, Jasmina Nikodinovic-Runic, Fabio Zobi|2020|Eur.J.Med.Chem.|204|112583|doi:10.1016/j.ejmech.2020.112583
DOI: 10.5517/ccdc.csd.cc24khpx
title: CCDC 1983029: Experimental Crystal Structure Determination

description: Related Article: Anastasiia M. Afanasenko, Tatiana G. Chulkova, Irina A. Boyarskaya, Regina M. Islamova, Anton A. Legin, Bernhard K. Keppler, Stanislav I. Selivanov, Anatoly N. Vereshchagin, Michail N. Elinson, Matti Haukka|2020|J.Organomet.Chem.|923|121435|doi:10.1016/j.jorganchem.2020.121435
DOI: 10.6073/pasta/e2257e510db3588001c25bce73e9b3cd
title: Porewater nutrient concentrations from control plots and fertilized plots at Spartina alterniflora, S.patens and Typha sp. marshes, Plum Island Ecosystem LTER, MA.

description: Nutrient concentrations from porewater samples at marsh sites in the Plum Island Ecosystems (PIE) LTER site. There are three long term marsh fertilization experimental research sites. The fertilization sites include one Typha-dominated brackish marsh, one Spartina alterniflora-dominated salt marsh, one S. patens-dominated salt marsh on the Rowley and upper Parker Rivers and two non-fertilized marsh sites on the Parker River National Wildlife Refuge.
DOI: 10.25345/c5zr15
title: MassIVE Reanalysis Container RMSV000000001 - Reanalysis container for dataset MSV000078886
DOI: 10.25345/c5tx9p
title: MassIVE Reanalysis Container RMSV000000005 - Reanalysis container for dataset MSV000079835
DOI: 10.25345/c5q76q
title: MassIVE Reanalysis Container RMSV000000006 - Reanalysis container for dataset MSV000079593
DOI: 10.25345/c5kj22
title: MassIVE Reanalysis Container RMSV000000007 - Reanalysis container for dataset MSV000079526
DOI: 10.25345/c5fq96
title: MassIVE Reanalysis Container RMSV000000008 - Reanalysis container for dataset MSV000078492
DOI: 10.25345/c5b180
title: MassIVE Reanalysis Container RMSV000000009 - Reanalysis container for dataset MSV000079935
DOI: 10.25345/c5675p
title: MassIVE Reanalysis Container RMSV000000010 - Reanalysis container for dataset MSV000080004
DOI: 10.25345/c5xq9j
title: MassIVE Reanalysis Container RMSV000000012 - Reanalysis container for dataset MSV000078257
DOI: 10.25345/c52j3s
title: MassIVE Reanalysis Container RMSV000000011 - Reanalysis container for dataset MSV000079945
DOI: 10.25345/c5t19q
title: MassIVE Reanalysis Container RMSV000000013 - Reanalysis container for dataset MSV000079937
DOI: 10.25345/c5jj4h
title: MassIVE Reanalysis Container RMSV000000015 - Reanalysis container for dataset MSV000079947
DOI: 10.25345/c5p751
title: MassIVE Reanalysis Container RMSV000000014 - Reanalysis container for dataset MSV000080014
DOI: 10.25345/c59192
title: MassIVE Reanalysis Container RMSV000000017 - Reanalysis container for dataset MSV000079943
DOI: 10.25345/c5dr0t
title: MassIVE Reanalysis Container RMSV000000016 - Reanalysis container for dataset MSV000080269
DOI: 10.25345/c5576r
title: MassIVE Reanalysis Container RMSV000000018 - Reanalysis container for dataset MSV000079942
DOI: 10.25345/c51j23
title: MassIVE Reanalysis Container RMSV000000019 - Reanalysis container for dataset MSV000080544
DOI: 10.25345/c5wr05
title: MassIVE Reanalysis Container RMSV000000020 - Reanalysis container for dataset MSV000079097
DOI: 10.25345/c5s181
title: MassIVE Reanalysis Container RMSV000000021 - Reanalysis container for dataset MSV000080049
DOI: 10.25345/c5nb4c
title: MassIVE Reanalysis Container RMSV000000022 - Reanalysis container for dataset MSV000080265
DOI: 10.25345/c5cv0j
title: MassIVE Reanalysis Container RMSV000000024 - Reanalysis container for dataset MSV000079982
DOI: 10.25345/c5hj2f
title: MassIVE Reanalysis Container RMSV000000023 - Reanalysis container for dataset MSV000079983
DOI: 10.25345/c50j1d
title: MassIVE Reanalysis Container RMSV000000027 - Reanalysis container for dataset MSV000080087
DOI: 10.25345/c54b53
title: MassIVE Reanalysis Container RMSV000000026 - Reanalysis container for dataset MSV000079987
DOI: 10.25345/c58170
title: MassIVE Reanalysis Container RMSV000000025 - Reanalysis container for dataset MSV000079944
DOI: 10.25345/c5vv18
title: MassIVE Reanalysis Container RMSV000000028 - Reanalysis container for dataset MSV000080278
DOI: 10.25345/c5mb5f
title: MassIVE Reanalysis Container RMSV000000030 - Reanalysis container for dataset MSV000080275