cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12293045
title: Hydrothermal synthesis of a dinuclear copper(II) complex with 2-aminopyrimidine and bridging oxalate ligands: <i>in situ</i> degradation of tartaric acid to oxalate and thermal decomposition to CuO nanoparticles

description: A new binuclear copper complex formulated as µ-(C<sub>2</sub>O<sub>4</sub>)-bis([Cu(amp)(NO<sub>3</sub>)(H<sub>2</sub>O)<sub>2</sub>] .H<sub>2</sub>O) (<b>1</b>) has been hydrothermally synthesized by the reaction of Cu(NO<sub>3</sub>)<sub>2</sub> .3H2O with tartaric acid and 2-aminopyrimidine in molar ratio 1:1:1 in water solution. Elemental analyses, spectroscopic methods (IR, UV/Vis), thermal analysis and X-ray diffraction (XRD) studies have been used for characterization of compound <b>1</b>. An important aspect of the preparation of <b>1</b> was <i>in situ</i> degradation of tartaric acid to oxalate. The oxalate ion is bridged between two copper(II) ions and every Cu(II) atom is six coordinated by an O,O′-bidentate oxalate ion, two water molecules, and a nitrogen atom from 2-aminopyrimide. Thermal decomposition of <b>1</b> in the presence of polyethylene glycol led to nano-particles of CuO. Powder XRD and scanning electron microscopy (SEM) were used to characterize the structure and morphology of the synthesized powder. The XRD pattern confirmed the formation of CuO tenorite in monoclinic symmetry.
DOI: 10.17632/hry8f9dfy2.1
title: Suaahara I - spouses only

description: Suaahara I, a United States Agency for International Development‐funded 5‐year (2011–2016) integrated nutrition program, aimed to address the poor nutritional status of women and children residing in 41 rural districts of Nepal. This data set is a subset of the data from the baseline survey conducted in 2012 for the Suaahara I project. It only includes households in which both the mother of the index child (a randomly selected child under five) and her husband responded to the survey. It also only includes a subset of the variables collected in the survey.
DOI: 10.6084/m9.figshare.12073929
title: Solvent-directed synthesis of two Cu(II)-based coordination polymers: structural diversity and protective effect on viral myocarditis by reducing inflammatory response in myocardial cells

description: Two Cu(II)-based coordination polymers with the chemical formula of [Cu(bibb)(1,4-NDC)](DMF) (<b>1</b>, bibb = 1,4-bis(benzimidazol-1-yl)−2-butylene, 1,4-H<sub>2</sub>NDC = 1,4-naphthalenedicarboxylic acid, DMF = N,N-dimethylformamide) and [Cu(bibb)(1,4-NDC)](DMA) (<b>2</b>, N,N-dimethylacetamide) have been prepared. The structural solution and refinement results based on the crystal data show that complex <b>1</b> exhibits a rarely 2-fold interpenetrating 3D (4,5)-connected <b>xah</b> framework, and complex <b>2</b> possesses an unusual 3D (3,4)-connected <b>dmc</b> topology. Furthermore, the protective activity of compounds <b>1</b> and <b>2</b> on Viral myocarditis (VMC) was detected on CVB3-induced mouse viral myocarditis model. The relative expression of the inflammatory factors <i>nf-κb</i> and <i>p38</i> in myocardial cells after compounds <b>1</b> and <b>2</b> treatment was measured with reverse transcription-polymerase chain reaction (RT-PCR). The release level of the inflammatory cytokines IL-1 and MCP-1 by myocardial cells was determined with enzyme linked immunosorbent assay (ELISA) detection kit.
DOI: 10.17632/2t8kgwzp35.1
title: Data for DeepTMInter: Accurate sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning

description: It contains five folders: 1). PDB. Crystallographic structures of TM proteins in the TrainData, IndepData, TestData, and CompData datasets. 2). Fasta. Sequences of TM proteins in the TrainData, IndepData, TestData, and CompData datasets. 3). Topology. Structure-derived and Phobius-predicted topologies of TM proteins in the TrainData, IndepData, TestData, and CompData datasets. 4). Cross Validation. 5-fold cross validations of the TrainData dataset by the stratified-shuffle method. 5). Prediction. Predictions of the 7 tools (DeepTMInter, DELPHI, MBPredAll, MBPredCombined, MBPredCyto, MBPredExtra, and MBPredTM) on the IndepData, TestData, and CompData datasets. Predictions of DeepTMInter on the human transmembrane proteome (5051 proteins).
DOI: 10.17632/fvpsd9xw3p.1
title: Acacia constricta VL lectin inhibits growth of breast cancer cell lines

description: Lectins are proteins or glycoproteins with carbohydrate-binding capacity. The objective of this research was to evaluate the antiproliferative activity of Acacia constricta (VL) lectin on MDA-MB-231 and T47D breast cancer cell lines. In this work, the recognition of VL lectin (fluorescein-labeled) towards cell receptors was evaluated by confocal microscopy. The antiproliferative activity and induction of apoptosis were determined by flow cytometry. The increase of reactive oxygen species was evaluated by flow cytometry using H2-DCF-DA (dichlorofluorescein diacetate). VL lectin reduced cell proliferation by up to 50% in MDA-MB-231 and T47D cell lines; it was determined that the VL lectin induced apoptosis in both MDA-MB-231 and T47D cells independent of the activation of reactive oxygen species. Confocal microscopy analysis demonstrated that VL can recognize receptors present on the cell surface in both cell lines. The VL lectin can be considered within the class of molecules with potential as an antitumor agent.
DOI: 10.17632/nf22d786tj.1
title: DReLAB dataset - Deep REinforcement Learning Adversarial Botnet dataset

description: We present the first dataset that aims to serve as a benchmark to validate the resilience of botnet detectors against adversarial attacks. The dataset includes realistic adversarial samples automatically generated by leveraging two widely used Deep Reinforcement Learning (DRL) techniques. These adversarial samples are proved to evade state of the art detectors based on both Machine- and Deep-Learning algorithms. The initial corpus of malicious samples consists in network flows belonging to different botnet families presented in three public datasets that contain real enterprise network traffic. We use these datasets to devise detectors capable of achieving state-of-the-art performance. We then train two DRL agents, based on Double Deep Q-Network and Deep Sarsa, to generate realistic adversarial samples: the goal is achieving misclassifications by performing small modifications to the initial malicious samples; these alterations involve the features that can be more realistically altered by an expert attacker, and do not compromise the underlying malicious logic of the original samples. Our dataset provides an important contribution to the cybersecurity research community as it is the first that includes thousands of automatically generated adversarial samples that are able to thwart state of the art classifiers with a high evasion rate. The adversarial samples are grouped by malware variant and provided in CSV file format. Researchers can validate their defensive proposals by testing their detectors against the adversarial samples introduced in the proposed dataset. Moreover, the analysis and the study of those samples can pave a way to a deeper comprehension of adversarial attacks; to the development of new and effective defensive techniques; and can also benefit the works in the explainability of machine learning algorithms.
DOI: 10.17632/hbp35htzzm.3
title: Supplementary information: Cement Nanocomposites Containing Montmorillonite Nanosheets Modified with Surfactants of Various Chain Lengths

description: These documents are supplementary information as appendixes of "Cement Nanocomposites Containing Montmorillonite Nanosheets Modified with Surfactants of Various Chain Lengths". Appendix A. Supplementary data Appendix B. Response letter to reviewers
DOI: 10.21258/1505374
title: Inventaire forestier national suisse - Tableau no 897166
DOI: 10.21258/1493187
title: Inventaire forestier national suisse - Tableau no 899573
DOI: 10.21258/1492871
title: Inventaire forestier national suisse - Tableau no 897088
DOI: 10.21258/1512917
title: Inventaire forestier national suisse - Tableau no 891839
DOI: 10.6084/m9.figshare.13221638
title: Twinfilin uncaps filament barbed ends to promote turnover of lamellipodial actin networks (Data on FRAP analysis)

description: Cell data used in analysis of FRAP experiments as PDF files and analysis data as spreadsheet.
DOI: 10.6084/m9.figshare.13353338
title: Digital transformation and NIH

description: Field work was conducted in July 2020 through a questionnaire sent by electronic mail and physically applied to the management staff of firms served by a local company which offers them digital transformation services, mainly in automation processes.
DOI: 10.6084/m9.figshare.13221638.v1
title: Twinfilin uncaps filament barbed ends to promote turnover of lamellipodial actin networks (Data on FRAP analysis)

description: Cell data used in analysis of FRAP experiments as PDF files and analysis data as spreadsheet.
DOI: 10.6084/m9.figshare.13353338.v1
title: Digital transformation and NIH

description: Field work was conducted in July 2020 through a questionnaire sent by electronic mail and physically applied to the management staff of firms served by a local company which offers them digital transformation services, mainly in automation processes.
DOI: 10.21258/1524759
title: Inventaire forestier national suisse - Tableau no 898350
DOI: 10.21258/1519766
title: Inventaire forestier national suisse - Tableau no 898847
DOI: 10.21258/1511327
title: Inventaire forestier national suisse - Tableau no 897435
DOI: 10.21258/1520192
title: Inventaire forestier national suisse - Tableau no 897682
DOI: 10.21258/1524821
title: Inventaire forestier national suisse - Tableau no 898896
DOI: 10.21258/1497398
title: Inventaire forestier national suisse - Tableau no 897377
DOI: 10.21258/1518926
title: Inventaire forestier national suisse - Tableau no 899128
DOI: 10.17632/dzpn2d4h29.1
title: Match research to the SDGs dataset v20201113
DOI: 10.17632/6mgwk57bbt.1
title: Synaptic bypass

description: Behavioral and calcium imaging data for the manuscript "Circumventing neural damage in a C. elegans chemosensory circuit using genetically engineered synapses"
DOI: 10.21258/1526780
title: Inventaire forestier national suisse - Tableau no 902071
DOI: 10.21258/1482572
title: Inventaire forestier national suisse - Tableau no 897907
DOI: 10.6084/m9.figshare.13353362
title: 国内新冠肺炎疫情对旅客运输量的影响.rar

description: 2020年的年初，一场突如其来的疫情对社会生活的很多方面产生了巨大的影响。新冠肺炎病毒随着人口的流动传播到全国各地，累计造成了中国数万人感染。客流量在一定程度上反映了交通运输行业的状况，我们以各类交通运输工具的旅客运输量为切入点，将疫情形势动态相关的数据与几类主要交通运输工具的旅客运输量相结合，探讨两者之间的相关关系，尝试分析随着疫情形势的变化，各类交通运输工具旅客运输量呈现怎样的变化趋势，以此分析新冠肺炎疫情对各类交通客流量的具体影响，揭示新冠肺炎疫情影响下的全国交通运输状况。
DOI: 10.21258/1504271
title: Inventaire forestier national suisse - Tableau no 892060
DOI: 10.21258/1514946
title: Inventaire forestier national suisse - Tableau no 893458
DOI: 10.21258/1481546
title: Inventaire forestier national suisse - Tableau no 891935
DOI: 10.21258/1512233
title: Inventaire forestier national suisse - Tableau no 892011
DOI: 10.21258/1528057
title: Inventaire forestier national suisse - Tableau no 898140
DOI: 10.21258/1479765
title: Inventaire forestier national suisse - Tableau no 892058
DOI: 10.17632/nvcwgy2y4p.3
title: Microbial modified mechanical properties of shales

description: Research data for a manuscript under peer-review in Rock Mechanics and Rock Engineering
DOI: 10.17632/69x6bs69s6.1
title: Data for: Multi-isotope tracing of the 1.3-0.9 Ga evolution of Fennoscandia

description: This paper includes four supplementary files that contain new and compiled data. The files include 1) Methods, 2) Lu-Hf zircon isotopic data, 3) Rb-Sr whole-rock isotopic data and 4) Pb-Pb K-feldspar isotopic data.
DOI: 10.21258/1523697
title: Inventaire forestier national suisse - Tableau no 897815
DOI: 10.17632/pk3s8vt62j.1
title: Data for: Nickel isotopes and rare earth elements systematics in marine hydrogenetic and hydrothermal ferromanganese deposits

description: Those two tables contain the nickel isotope values and elemental ratios (table 1) and the complete major and trace element geochemistry (table S2).
DOI: 10.21258/1494555
title: Inventaire forestier national suisse - Tableau no 891985
DOI: 10.21258/1501696
title: Inventaire forestier national suisse - Tableau no 896977
DOI: 10.21258/1525457
title: Inventaire forestier national suisse - Tableau no 897018
DOI: 10.21258/1519131
title: Inventaire forestier national suisse - Tableau no 899172
DOI: 10.21258/1516539
title: Inventaire forestier national suisse - Tableau no 897498
DOI: 10.6084/m9.figshare.12722423.v1
title: Supplementary DATA and CODE: Hare & Lavergne (2020)

description: Code and Data for <b>Hare, V.J. & Lavergne, A. (2020) Differences in Δ13C between angiosperm and gymnosperm woody plants are related to atmospheric O2:CO2 ratio, physiology, and environment. </b><br>Contents:<br>1) Global13Cdata.xlsx (Global tree ring and lead Δ13C compilation)2) Four (4) MATLAB .m files3) Seven (7) MATLAB .mat files4) README.txt for MATLAB files<br>
DOI: 10.21258/1518061
title: Inventaire forestier national suisse - Tableau no 899589
DOI: 10.5517/ccdc.csd.cc2428yg
title: CCDC 1968405: Experimental Crystal Structure Determination

description: Related Article: M. Menaf Ayhan, Ceyda Bayraktar, Kai Bin Yu, Gabriel Hanna, A. Ozgur Yazaydin, Yunus Zorlu, Gündoğ Yücesan|2020|Chem.-Eur.J.|26|14813|doi:10.1002/chem.202001917
DOI: 10.5517/ccdc.csd.cc244l0x
title: CCDC 1970608: Experimental Crystal Structure Determination

description: Related Article: Hao Wang, Mark Warren, Jacek Jagiello, Stephanie Jensen, Sanjit K. Ghose, Kui Tan, Liang Yu, Thomas J. Emge, Timo Thonhauser, Jing Li|2020|J.Am.Chem.Soc.|142|20088|doi:10.1021/jacs.0c09475
DOI: 10.5517/ccdc.csd.cc244l1y
title: CCDC 1970609: Experimental Crystal Structure Determination

description: Related Article: Hao Wang, Mark Warren, Jacek Jagiello, Stephanie Jensen, Sanjit K. Ghose, Kui Tan, Liang Yu, Thomas J. Emge, Timo Thonhauser, Jing Li|2020|J.Am.Chem.Soc.|142|20088|doi:10.1021/jacs.0c09475
DOI: 10.5517/ccdc.csd.cc244l2z
title: CCDC 1970610: Experimental Crystal Structure Determination

description: Related Article: Hao Wang, Mark Warren, Jacek Jagiello, Stephanie Jensen, Sanjit K. Ghose, Kui Tan, Liang Yu, Thomas J. Emge, Timo Thonhauser, Jing Li|2020|J.Am.Chem.Soc.|142|20088|doi:10.1021/jacs.0c09475
DOI: 10.5517/ccdc.csd.cc244l41
title: CCDC 1970612: Experimental Crystal Structure Determination

description: Related Article: Hao Wang, Mark Warren, Jacek Jagiello, Stephanie Jensen, Sanjit K. Ghose, Kui Tan, Liang Yu, Thomas J. Emge, Timo Thonhauser, Jing Li|2020|J.Am.Chem.Soc.|142|20088|doi:10.1021/jacs.0c09475
DOI: 10.5517/ccdc.csd.cc24sl4p
title: CCDC 1989832: Experimental Crystal Structure Determination

description: Related Article: Yan-Bo Li, Hu Tian, Liang Yin|2020|J.Am.Chem.Soc.|142|20098|doi:10.1021/jacs.0c09654
DOI: 10.5517/ccdc.csd.cc24sl5q
title: CCDC 1989833: Experimental Crystal Structure Determination

description: Related Article: Yan-Bo Li, Hu Tian, Liang Yin|2020|J.Am.Chem.Soc.|142|20098|doi:10.1021/jacs.0c09654
DOI: 10.5517/ccdc.csd.cc25tffw
title: CCDC 2020438: Experimental Crystal Structure Determination

description: Related Article: Bibhuti Bhusan Rath, Jagadese J. Vittal|2020|J.Am.Chem.Soc.|142|20117|doi:10.1021/jacs.0c09577
DOI: 10.5517/ccdc.csd.cc25tfgx
title: CCDC 2020439: Experimental Crystal Structure Determination

description: Related Article: Bibhuti Bhusan Rath, Jagadese J. Vittal|2020|J.Am.Chem.Soc.|142|20117|doi:10.1021/jacs.0c09577
DOI: 10.5517/ccdc.csd.cc25xsd9
title: CCDC 2023661: Experimental Crystal Structure Determination

description: Related Article: Yan-Bo Li, Hu Tian, Liang Yin|2020|J.Am.Chem.Soc.|142|20098|doi:10.1021/jacs.0c09654
DOI: 10.5517/ccdc.csd.cc25zj1r
title: CCDC 2025324: Experimental Crystal Structure Determination

description: Related Article: Elena Braconi, Alissa C. Götzinger, Nicolai Cramer|2020|J.Am.Chem.Soc.|142|19819|doi:10.1021/jacs.0c09486
DOI: 10.5517/ccdc.csd.cc25zj2s
title: CCDC 2025325: Experimental Crystal Structure Determination

description: Related Article: Elena Braconi, Alissa C. Götzinger, Nicolai Cramer|2020|J.Am.Chem.Soc.|142|19819|doi:10.1021/jacs.0c09486
DOI: 10.5517/ccdc.csd.cc25zj3t
title: CCDC 2025326: Experimental Crystal Structure Determination

description: Related Article: Elena Braconi, Alissa C. Götzinger, Nicolai Cramer|2020|J.Am.Chem.Soc.|142|19819|doi:10.1021/jacs.0c09486
DOI: 10.5517/ccdc.csd.cc25zj4v
title: CCDC 2025327: Experimental Crystal Structure Determination

description: Related Article: Elena Braconi, Alissa C. Götzinger, Nicolai Cramer|2020|J.Am.Chem.Soc.|142|19819|doi:10.1021/jacs.0c09486
DOI: 10.21258/1527232
title: Inventaire forestier national suisse - Tableau no 897891
DOI: 10.5517/ccdc.csd.cc260tpr
title: CCDC 2026584: Experimental Crystal Structure Determination

description: Related Article: Bibhuti Bhusan Rath, Jagadese J. Vittal|2020|J.Am.Chem.Soc.|142|20117|doi:10.1021/jacs.0c09577
DOI: 10.5517/ccdc.csd.cc260tqs
title: CCDC 2026585: Experimental Crystal Structure Determination

description: Related Article: Bibhuti Bhusan Rath, Jagadese J. Vittal|2020|J.Am.Chem.Soc.|142|20117|doi:10.1021/jacs.0c09577
DOI: 10.5517/ccdc.csd.cc260trt
title: CCDC 2026586: Experimental Crystal Structure Determination

description: Related Article: Bibhuti Bhusan Rath, Jagadese J. Vittal|2020|J.Am.Chem.Soc.|142|20117|doi:10.1021/jacs.0c09577
DOI: 10.5517/ccdc.csd.cc2662zh
title: CCDC 2031646: Experimental Crystal Structure Determination

description: Related Article: Tengfei Li, Yao Wu, Jiadong Zhou, Mengyang Li, Jingnan Wu, Qin Hu, Boyu Jia, Xiran Pan, Maojie Zhang, Zheng Tang, Zengqi Xie, Thomas P. Russell, Xiaowei Zhan|2020|J.Am.Chem.Soc.|142|20124|doi:10.1021/jacs.0c09800
DOI: 10.5517/ccdc.csd.cc26630k
title: CCDC 2031647: Experimental Crystal Structure Determination

description: Related Article: Tengfei Li, Yao Wu, Jiadong Zhou, Mengyang Li, Jingnan Wu, Qin Hu, Boyu Jia, Xiran Pan, Maojie Zhang, Zheng Tang, Zengqi Xie, Thomas P. Russell, Xiaowei Zhan|2020|J.Am.Chem.Soc.|142|20124|doi:10.1021/jacs.0c09800
DOI: 10.5517/ccdc.csd.cc26631l
title: CCDC 2031648: Experimental Crystal Structure Determination

description: Related Article: Tengfei Li, Yao Wu, Jiadong Zhou, Mengyang Li, Jingnan Wu, Qin Hu, Boyu Jia, Xiran Pan, Maojie Zhang, Zheng Tang, Zengqi Xie, Thomas P. Russell, Xiaowei Zhan|2020|J.Am.Chem.Soc.|142|20124|doi:10.1021/jacs.0c09800
DOI: 10.5517/ccdc.csd.cc26632m
title: CCDC 2031649: Experimental Crystal Structure Determination

description: Related Article: Tengfei Li, Yao Wu, Jiadong Zhou, Mengyang Li, Jingnan Wu, Qin Hu, Boyu Jia, Xiran Pan, Maojie Zhang, Zheng Tang, Zengqi Xie, Thomas P. Russell, Xiaowei Zhan|2020|J.Am.Chem.Soc.|142|20124|doi:10.1021/jacs.0c09800
DOI: 10.5517/ccdc.csd.cc266j54
title: CCDC 2032055: Experimental Crystal Structure Determination

description: Related Article: Wen Zhang, Zi-Xiong Zhou, Xu-Jiang Zhu, Zhang-Hua Sun, Wei-Min Dai, Chuang-Chuang Li|2020|J.Am.Chem.Soc.|142|19868|doi:10.1021/jacs.0c10116
DOI: 10.5517/ccdc.csd.cc266j65
title: CCDC 2032056: Experimental Crystal Structure Determination

description: Related Article: Wen Zhang, Zi-Xiong Zhou, Xu-Jiang Zhu, Zhang-Hua Sun, Wei-Min Dai, Chuang-Chuang Li|2020|J.Am.Chem.Soc.|142|19868|doi:10.1021/jacs.0c10116
DOI: 10.5517/ccdc.csd.cc2677b1
title: CCDC 2032742: Experimental Crystal Structure Determination

description: Related Article: Hanlin Yang, Wenzhong Li, Xin-Ming Xu, Zu-Li Wang|2020|Org.Lett.|22|8814|doi:10.1021/acs.orglett.0c03162
DOI: 10.21258/1483831
title: Inventaire forestier national suisse - Tableau no 891875
DOI: 10.21258/1508481
title: Inventaire forestier national suisse - Tableau no 897563
DOI: 10.21258/1518243
title: Inventaire forestier national suisse - Tableau no 899385
DOI: 10.21258/1521198
title: Inventaire forestier national suisse - Tableau no 897915
DOI: 10.21258/1498369
title: Inventaire forestier national suisse - Tableau no 898199
DOI: 10.21258/1522159
title: Inventaire forestier national suisse - Tableau no 899155
DOI: 10.21258/1509777
title: Inventaire forestier national suisse - Tableau no 899323
DOI: 10.21258/1516612
title: Inventaire forestier national suisse - Tableau no 899240
DOI: 10.21258/1529361
title: Inventaire forestier national suisse - Tableau no 902283
DOI: 10.21258/1529418
title: Inventaire forestier national suisse - Tableau no 899448
DOI: 10.21258/1481093
title: Inventaire forestier national suisse - Tableau no 892039
DOI: 10.21258/1512697
title: Inventaire forestier national suisse - Tableau no 902118
DOI: 10.21258/1493646
title: Inventaire forestier national suisse - Tableau no 899464
DOI: 10.6084/m9.figshare.13353485
title: Managing soybean cyst nematode through rotation of soybean cyst nematode resistance sources

description: Rotation of soybean cyst nematode resistance sources Peking and PI88788 produced highest soybean yield in soybean cyst nematode infested field.
DOI: 10.6084/m9.figshare.13353485.v1
title: Managing soybean cyst nematode through rotation of soybean cyst nematode resistance sources

description: Rotation of soybean cyst nematode resistance sources Peking and PI88788 produced highest soybean yield in soybean cyst nematode infested field.
DOI: 10.21258/1526237
title: Inventaire forestier national suisse - Tableau no 897694
DOI: 10.21258/1521088
title: Inventaire forestier national suisse - Tableau no 897442
DOI: 10.6084/m9.figshare.12248318
title: PDP Code and data.zipThe Point-Descriptor-Precedence

description: This code along with the data can be used for finding a particular movement pattern in a given motion dataset using the Point-Direction-Precedence (PDP).
DOI: 10.6084/m9.figshare.12248318.v1
title: PDP Code and data.zip

description: This code along with the data can be used for finding a particular movement pattern in a given motion dataset using the Point-Direction-Precedence (PDP).
DOI: 10.21258/1505811
title: Inventaire forestier national suisse - Tableau no 893035
DOI: 10.21258/1487338
title: Inventaire forestier national suisse - Tableau no 897395
DOI: 10.21258/1479671
title: Inventaire forestier national suisse - Tableau no 898364
DOI: 10.34740/kaggle/dsv/1728076
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.21258/1510817
title: Inventaire forestier national suisse - Tableau no 899256
DOI: 10.21258/1492662
title: Inventaire forestier national suisse - Tableau no 892924
DOI: 10.21258/1519270
title: Inventaire forestier national suisse - Tableau no 897219
DOI: 10.21258/1495160
title: Inventaire forestier national suisse - Tableau no 897824
DOI: 10.21258/1486526
title: Inventaire forestier national suisse - Tableau no 891790
DOI: 10.21258/1523464
title: Inventaire forestier national suisse - Tableau no 899402
DOI: 10.21258/1525531
title: Inventaire forestier national suisse - Tableau no 897969
DOI: 10.21258/1511343
title: Inventaire forestier national suisse - Tableau no 899630
DOI: 10.21258/1498178
title: Inventaire forestier national suisse - Tableau no 897797
DOI: 10.21258/1491924
title: Inventaire forestier national suisse - Tableau no 902150
DOI: 10.21258/1487515
title: Inventaire forestier national suisse - Tableau no 891958
DOI: 10.21258/1486522
title: Inventaire forestier national suisse - Tableau no 897560
DOI: 10.21258/1494026
title: Inventaire forestier national suisse - Tableau no 897229
DOI: 10.21258/1500400
title: Inventaire forestier national suisse - Tableau no 897942
DOI: 10.21258/1515080
title: Inventaire forestier national suisse - Tableau no 891757
DOI: 10.5281/zenodo.4047211
title: Data for manuscript "The Pathways of an active Pacific Meridional Overturning Circulation in the Pliocene Ocean"

description: Data for the manuscript entitled "The Pathways of an active Pacific Meridional Overturning Circulation in the Pliocene Ocean".
DOI: 10.21258/1514856
title: Inventaire forestier national suisse - Tableau no 897731
DOI: 10.21258/1481193
title: Inventaire forestier national suisse - Tableau no 899648