cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4315291
title: ECHAM5/MESSy v2.53.0 model (EMAC) formic acid and formaldehyde (2010-2012)

description: The dataset includes netcdf files with daily and montly averaged formic acid (HCOOH), formaldehyde (HCHO) and methanediol (HOCH2OH) volume mixing ratio profiles, along with ancillary data (e.g., pressure), simulated by the chemistry-climate model ECHAM5/MESSy v2.53.0 (EMAC) over 2010-2012. The monthly averaged data files also include the carbon monoxide (CO) volume mixing ratio profiles and the yield of CO from methane (CH4) oxidation. The data are available on a T63 horizontal grid, i.e. with a spherical truncation of T63 (corresponding to a quadratic Gaussian grid of approximately 1.9° by 1.9°), with 31 vertical hybrid levels. Three simulations are provided: 1) EMAC(base) is a reference simulation, 2-3) EMAC(dioh) and EMAC(diol) are simulations with explicit cloud chemistry of formaldehyde. The Modular Earth Submodel System (MESSy) is continuously further developed and applied by a consortium of institutions. The usage of MESSy and access to the source code is licensed to all affiliates of institutions which are members of the MESSy Consortium. Institutions can become a member of the MESSy Consortium by signing the MESSy Memorandum of Understanding. More information can be found on the MESSy Consortium Web-site (http://www.messy-interface.org). The modifications used to produce this dataset have been implemented based on MESSy v2.53.0. The exact source code used to produce the results is archived at the Jülich Supercomputing Centre (JSC) in Jülich and can be made available to members of the MESSy community upon request. We encourage anyone who wants to use this dataset to contact the main developer Domenico Taraborrelli (d.taraborrelli@fz-juelich.de).
DOI: 10.21258/1618687
title: Inventario forestale nazionale svizzero - Tabella n. 898507
DOI: 10.21258/1576805
title: Inventario forestale nazionale svizzero - Tabella n. 896951
DOI: 10.21258/1605688
title: Inventario forestale nazionale svizzero - Tabella n. 898773
DOI: 10.21258/1600508
title: Inventario forestale nazionale svizzero - Tabella n. 898542
DOI: 10.21258/1582327
title: Inventario forestale nazionale svizzero - Tabella n. 899059
DOI: 10.21258/1624117
title: Inventario forestale nazionale svizzero - Tabella n. 898928
DOI: 10.5517/ccdc.csd.cc257d3y
title: CCDC 2003099: Experimental Crystal Structure Determination

description: Related Article: Meng Yang, Zhi-Jian Ouyang, Yun-Jing Zhong, Jia-Wei Cai, Xiao-Hui Li, Wen Dong|2020|Dalton Trans.|49|17017|doi:10.1039/D0DT02863K
DOI: 10.5517/ccdc.csd.cc25fk7f
title: CCDC 2009024: Experimental Crystal Structure Determination

description: Related Article: Yang Ye, Lei Gao, Hongxun Hao, Qiuxiang Yin, Chuang Xie|2020|CrystEngComm|22|8045|doi:10.1039/D0CE01394C
DOI: 10.5517/ccdc.csd.cc25fk9h
title: CCDC 2009026: Experimental Crystal Structure Determination

description: Related Article: Yang Ye, Lei Gao, Hongxun Hao, Qiuxiang Yin, Chuang Xie|2020|CrystEngComm|22|8045|doi:10.1039/D0CE01394C
DOI: 10.5517/ccdc.csd.cc25fkbj
title: CCDC 2009027: Experimental Crystal Structure Determination

description: Related Article: Yang Ye, Lei Gao, Hongxun Hao, Qiuxiang Yin, Chuang Xie|2020|CrystEngComm|22|8045|doi:10.1039/D0CE01394C
DOI: 10.5517/ccdc.csd.cc25fl8h
title: CCDC 2009056: Experimental Crystal Structure Determination

description: Related Article: Yang Ye, Lei Gao, Hongxun Hao, Qiuxiang Yin, Chuang Xie|2020|CrystEngComm|22|8045|doi:10.1039/D0CE01394C
DOI: 10.5517/ccdc.csd.cc25fl9j
title: CCDC 2009057: Experimental Crystal Structure Determination

description: Related Article: Yang Ye, Lei Gao, Hongxun Hao, Qiuxiang Yin, Chuang Xie|2020|CrystEngComm|22|8045|doi:10.1039/D0CE01394C
DOI: 10.5517/ccdc.csd.cc25xzz2
title: CCDC 2023865: Experimental Crystal Structure Determination

description: Related Article: Celia Idelson, Leah Webster, Tobias Krämer, F. Mark Chadwick|2020|Dalton Trans.|49|16653|doi:10.1039/D0DT03544K
DOI: 10.5517/ccdc.csd.cc25y005
title: CCDC 2023866: Experimental Crystal Structure Determination

description: Related Article: Celia Idelson, Leah Webster, Tobias Krämer, F. Mark Chadwick|2020|Dalton Trans.|49|16653|doi:10.1039/D0DT03544K
DOI: 10.5517/ccdc.csd.cc25y016
title: CCDC 2023867: Experimental Crystal Structure Determination

description: Related Article: Celia Idelson, Leah Webster, Tobias Krämer, F. Mark Chadwick|2020|Dalton Trans.|49|16653|doi:10.1039/D0DT03544K
DOI: 10.5517/ccdc.csd.cc26bmw2
title: CCDC 2036014: Experimental Crystal Structure Determination

description: Related Article: Po-Jung Huang, Hitoshi Miyasaka|2020|Dalton Trans.|49|16970|doi:10.1039/D0DT03615C
DOI: 10.5517/ccdc.csd.cc26bmx3
title: CCDC 2036015: Experimental Crystal Structure Determination

description: Related Article: Po-Jung Huang, Hitoshi Miyasaka|2020|Dalton Trans.|49|16970|doi:10.1039/D0DT03615C
DOI: 10.5517/ccdc.csd.cc26bmy4
title: CCDC 2036016: Experimental Crystal Structure Determination

description: Related Article: Po-Jung Huang, Hitoshi Miyasaka|2020|Dalton Trans.|49|16970|doi:10.1039/D0DT03615C
DOI: 10.5517/ccdc.csd.cc26bmz5
title: CCDC 2036017: Experimental Crystal Structure Determination

description: Related Article: Po-Jung Huang, Hitoshi Miyasaka|2020|Dalton Trans.|49|16970|doi:10.1039/D0DT03615C
DOI: 10.5517/ccdc.csd.cc26bn07
title: CCDC 2036018: Experimental Crystal Structure Determination

description: Related Article: Po-Jung Huang, Hitoshi Miyasaka|2020|Dalton Trans.|49|16970|doi:10.1039/D0DT03615C
DOI: 10.5517/ccdc.csd.cc26bn18
title: CCDC 2036019: Experimental Crystal Structure Determination

description: Related Article: Po-Jung Huang, Hitoshi Miyasaka|2020|Dalton Trans.|49|16970|doi:10.1039/D0DT03615C
DOI: 10.5517/ccdc.csd.cc25r6sy
title: CCDC 2018310: Experimental Crystal Structure Determination

description: Related Article: Krishna Sundar Das, Baishakhi Pal, Sayan Saha, Sohel Akhtar, Avik De, Partha Pratim Ray, Raju Mondal|2020|Dalton Trans.|49|17005|doi:10.1039/D0DT02589E
DOI: 10.5517/ccdc.csd.cc25r6tz
title: CCDC 2018311: Experimental Crystal Structure Determination

description: Related Article: Krishna Sundar Das, Baishakhi Pal, Sayan Saha, Sohel Akhtar, Avik De, Partha Pratim Ray, Raju Mondal|2020|Dalton Trans.|49|17005|doi:10.1039/D0DT02589E
DOI: 10.5517/ccdc.csd.cc257d1w
title: CCDC 2003097: Experimental Crystal Structure Determination

description: Related Article: Meng Yang, Zhi-Jian Ouyang, Yun-Jing Zhong, Jia-Wei Cai, Xiao-Hui Li, Wen Dong|2020|Dalton Trans.|49|17017|doi:10.1039/D0DT02863K
DOI: 10.5517/ccdc.csd.cc257d2x
title: CCDC 2003098: Experimental Crystal Structure Determination

description: Related Article: Meng Yang, Zhi-Jian Ouyang, Yun-Jing Zhong, Jia-Wei Cai, Xiao-Hui Li, Wen Dong|2020|Dalton Trans.|49|17017|doi:10.1039/D0DT02863K
DOI: 10.5517/ccdc.csd.cc257d4z
title: CCDC 2003100: Experimental Crystal Structure Determination

description: Related Article: Meng Yang, Zhi-Jian Ouyang, Yun-Jing Zhong, Jia-Wei Cai, Xiao-Hui Li, Wen Dong|2020|Dalton Trans.|49|17017|doi:10.1039/D0DT02863K
DOI: 10.5517/ccdc.csd.cc26kg9k
title: CCDC 2042568: Experimental Crystal Structure Determination

description: Related Article: M.A. Ehweiner, F. Belaj, N.C. Mösch-Zanetti|2020|IUCrData|5|x201465|doi:10.1107/S2414314620014650
DOI: 10.21258/1606813
title: Inventario forestale nazionale svizzero - Tabella n. 891875
DOI: 10.21258/1565188
title: Inventaire forestier national suisse - Tableau no 897394
DOI: 10.6084/m9.figshare.13365884
title: Fig5-tree.nwk

description: Phylogenetic tree for Fig5<br>
DOI: 10.6084/m9.figshare.13365884.v1
title: Fig5-tree.nwk

description: Phylogenetic tree for Fig5<br>
DOI: 10.4225/08/5a6fe16846a67
title: RV Investigator Voyage IN2017_T01 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2017_t01, titled "Natural iron fertilisation of oceans around Australia: linking terrestrial dust and bushfires to marine biogeochemistry." The voyage took place from Sydney (NSW) to Broome (WA) between September 24 and October 8, 2017.

For further information refer to the Voyage documentation links below.

Instruments used and data collected include:
Regular measurements:
Acoustic Doppler Current Profiler (ADCP; 75 KHz ), Fisheries echosounder (EK60, ME70),  Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, pCO2, Starboard and Portside Radiometers, Radon, Ozone, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Air Pressure, Wind Speed and Direction sensors, Photosynthetically Active Radiation (PAR) sensor, Thermosalinographs.

Voyage-specific measurements:
Cloud Condensation Nuclei counter (CCN, ccnc), Condensation Particle Counters (CPC), Disdrometer, Scanning Mobility Particle Sizers (SMPS), Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Multiangle Absorption Photometer (MAAP), Nephelometer, Ultra Short BaseLine Underwater Positioning System (USBL), Corer, Trace Metal Sampling, Video.

The archive for the IN2017_T01 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage.

All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.
DOI: 10.21258/1587149
title: Inventario forestale nazionale svizzero - Tabella n. 897708
DOI: 10.6084/m9.figshare.13365893
title: Fig5-aln.fasta

description: Alignment for Fig5 (fasta format)<br>
DOI: 10.21258/1613843
title: Inventario forestale nazionale svizzero - Tabella n. 897095
DOI: 10.21258/1605910
title: Inventario forestale nazionale svizzero - Tabella n. 902130
DOI: 10.24396/ordar-56
title: Global parameters (water content) of sediments, core description, particle size distribution, JOEP cores from may 29th 2018 coring on left and right riversides, Orne River, Moselle Watershed

description: Water content and visual descritpion of all sediment layers
DOI: 10.21258/1594272
title: Inventario forestale nazionale svizzero - Tabella n. 898945
DOI: 10.21258/1587607
title: Inventario forestale nazionale svizzero - Tabella n. 897590
DOI: 10.21258/1559911
title: Inventaire forestier national suisse - Tableau no 891762
DOI: 10.21258/1550975
title: Inventaire forestier national suisse - Tableau no 898740
DOI: 10.21258/1532768
title: Inventaire forestier national suisse - Tableau no 897134
DOI: 10.21258/1535603
title: Inventaire forestier national suisse - Tableau no 897109
DOI: 10.24396/ordar-58
title: XRF estimated element contents from JOEP1805 and JOEP1805 RG cores, Orne River, Moselle Watershed

description: estimated contents of Pb, Zn, Fe, Ca, P, S , Al, Si, Mn and Cr obtained by XRF(gun)
DOI: 10.21258/1563118
title: Inventaire forestier national suisse - Tableau no 902046
DOI: 10.21258/1533227
title: Inventaire forestier national suisse - Tableau no 898696
DOI: 10.21258/1565272
title: Inventaire forestier national suisse - Tableau no 899530
DOI: 10.21258/1600579
title: Inventario forestale nazionale svizzero - Tabella n. 898153
DOI: 10.21258/1580419
title: Inventario forestale nazionale svizzero - Tabella n. 902283
DOI: 10.21258/1548473
title: Inventaire forestier national suisse - Tableau no 891854
DOI: 10.5281/zenodo.4317238
title: Allelic diversity of the PRDM9 coding minisatellite in minke whales

description: This data repository contains data and protocols for the manuscript: Allelic diversity of the PRDM9 coding minisatellite in minke whales
description: We thank the Max Planck Society for funding this study.
description: {"references": ["https://doi.org/10.1093/molbev/msz091"]}
DOI: 10.21258/1592938
title: Inventario forestale nazionale svizzero - Tabella n. 899624
DOI: 10.21258/1579319
title: Inventario forestale nazionale svizzero - Tabella n. 897564
DOI: 10.21258/1589262
title: Inventario forestale nazionale svizzero - Tabella n. 898705
DOI: 10.21258/1604137
title: Inventario forestale nazionale svizzero - Tabella n. 891679
DOI: 10.6084/m9.figshare.13365656
title: Data Knowledge, Practice and sources of information related to COVID19.xlsx

description: The data set contain the socio-demographic data, information sources, knowledge and preventive practice related to Covid-19 among residents of Sylhet, Bangladesh.There are 12 knowledge questions (K1 -K12) and 5 practice related questions( P1-P5). Level of knowledge is leveled as 'Good" who scored more than 6 in knowledge questions and 'Poor" who scored equal or less than 6 in knowledge questions.Association of sources of information and level of knowledge of participants are analyzed using chi-square test and binary logistic regression test.
DOI: 10.6084/m9.figshare.13365656.v2
title: Data Knowledge, Practice and sources of information related to COVID19.xlsx

description: The data set contain the socio-demographic data, information sources, knowledge and preventive practice related to Covid-19 among residents of Sylhet, Bangladesh.There are 12 knowledge questions (K1 -K12) and 5 practice related questions( P1-P5). Level of knowledge is leveled as 'Good" who scored more than 6 in knowledge questions and 'Poor" who scored equal or less than 6 in knowledge questions.Association of sources of information and level of knowledge of participants are analyzed using chi-square test and binary logistic regression test.
DOI: 10.6084/m9.figshare.13365656.v1
title: Data Knowledge, Practice and sources of information related to COVID19.xlsx

description: The data set contain the socio-demographic data, information sources, knowledge and preventive practice related to Covid-19 among residents of Sylhet, Bangladesh.There are 12 knowledge questions (K1 -K12) and 5 practice related questions( P1-P5). Level of knowledge is leveled as 'Good" who scored more than 6 in knowledge questions and 'Poor" who scored equal or less than 6 in knowledge questions.Association of sources of information and level of knowledge of participants are analyzed using chi-square test and binary logistic regression test.
DOI: 10.21258/1610841
title: Inventario forestale nazionale svizzero - Tabella n. 898242
DOI: 10.21258/1613509
title: Inventario forestale nazionale svizzero - Tabella n. 899568
DOI: 10.21258/1552977
title: Inventaire forestier national suisse - Tableau no 892055
DOI: 10.21258/1545805
title: Inventaire forestier national suisse - Tableau no 898710
DOI: 10.21258/1536454
title: Inventaire forestier national suisse - Tableau no 897708
DOI: 10.21258/1579971
title: Inventario forestale nazionale svizzero - Tabella n. 898043
DOI: 10.34740/kaggle/dsv/1733950
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.21258/1625822
title: Inventario forestale nazionale svizzero - Tabella n. 899512
DOI: 10.21258/1535941
title: Inventaire forestier national suisse - Tableau no 892966
DOI: 10.21258/1578984
title: Inventario forestale nazionale svizzero - Tabella n. 899209
DOI: 10.5519/qd.mzvariue
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (54 records)
DOI: 10.5519/qd.0s4vy4el
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21258/1621031
title: Inventario forestale nazionale svizzero - Tabella n. 897338
DOI: 10.21258/1556009
title: Inventaire forestier national suisse - Tableau no 893018
DOI: 10.21965/ijhbhta.2018.003
title: Cost-effectiveness analysis of telerehabilitation for people who have sustained a stroke with return home without intensive rehabilitation: A systematic review
DOI: 10.21965/ijhpr.2018.002
title: Étude coût-efficacité d’un programme de gestion intégrée de l’obésité en groupes de médecine familiale au Québec
DOI: 10.5519/qd.cxyd5rnc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21965/ijhbhta.2018.004
title: Évaluation de l'Impact Organisationnel par une méthode d’Analyses des Modes de Défaillance, de leurs Effets et de leur Criticité : exemple de l'implantation de valve aortique par voie transcutanée en comparaison à la chirurgie conventionnelle dans un centre Hospitalo-Universitaire français
DOI: 10.21258/1574729
title: Inventaire forestier national suisse - Tableau no 891859
DOI: 10.21258/1569658
title: Inventaire forestier national suisse - Tableau no 896936
DOI: 10.21258/1557368
title: Inventaire forestier national suisse - Tableau no 898860
DOI: 10.21258/1575816
title: Inventaire forestier national suisse - Tableau no 898782
DOI: 10.5519/qd.sl6pwzoz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21258/1537904
title: Inventaire forestier national suisse - Tableau no 898849
DOI: 10.21258/1597288
title: Inventario forestale nazionale svizzero - Tabella n. 898973
DOI: 10.21258/1624155
title: Inventario forestale nazionale svizzero - Tabella n. 891681
DOI: 10.21258/1620449
title: Inventario forestale nazionale svizzero - Tabella n. 893053
DOI: 10.5519/qd.7cyzn0g1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21258/1570278
title: Inventaire forestier national suisse - Tableau no 893021
DOI: 10.21258/1563126
title: Inventaire forestier national suisse - Tableau no 897179
DOI: 10.21258/1556944
title: Inventaire forestier national suisse - Tableau no 897120
DOI: 10.21258/1535282
title: Inventaire forestier national suisse - Tableau no 897667
DOI: 10.5281/zenodo.4317244
title: BSF DART - demo trio

description: This dataset is a trio variant calling cohort to use as demonstration in the BSF DART software. The trio comprises the exome data from the Ashkenazim GIAB dataset (https://www.nature.com/articles/sdata201625): HG002_NA24385_son (ftp data) HG003_NA24149_father (ftp data) HG004_NA24143_mother (ftp data) We re-aligned the original bam files to the GRCh38 genome, ran variant calling using GATK v4 HaplotypeCaller on each sample, merged the resulting gVCF files into a single cohort, generated VCF files for each sample and annotated them using ENSEMBL VEP v100 (you can find below the exact command line). Moreover, in order to inform users regarding variant calling quality, we ran the GATK v3.8 CallableLoci analysis on each bam file using a list of exome targets as target intervals. Finally, for each sample we produced: a bigBed track ({sample}_callable_loci.bb) with callability information for each exome region a file ({sample}_non_callable_regions.tsv) containing annotations for the regions which are not "CALLABLE" calculated using the bsf_variant_calling_coverage.R script Please note, that the bam files in the archive have been downsampled to 30% of the original coverage for illustrative purposes but the variant calling has been run using full coverage. <strong>VEP command line:</strong> <pre><code class="language-bash">vep \ --allele_number --allow_non_variant \ --assembly GRCh38 \ --cache --dir_cache ${path_to_cache} --offline \ --dir_plugins ${path_to_plugins} \ --dont_skip --everything --failed 1 \ --fasta ${path_to_hg38_fasta}\ --flag_pick_allele_gene --force_overwrite --format vcf \ --gencode_basic --hgvsg --exclude_predicted \ --plugin CADD,${path_to_CADD_resources}/hg38/1.6/whole_genome_SNVs.tsv.gz,${path_to_CADD_resources}/hg38/1.6/gnomad.genomes.r3.0.indel.tsv.gz \ --species homo_sapiens --merged \ --tmpdir ./tmp \ --vcf --compress_output bgzip --fork 16 \ --input_file ./BSA_0000_DART_Demo_Trio_cohort.vcf.gz \ --output_file ./BSA_0000_DART_Demo_Trio_cohort.vep.vcf.gz \ --stats_file ./BSA_0000_DART_Demo_Trio_cohort.vep.html \ --warning_file ./BSA_0000_DART_Demo_Trio_cohort.vep.warning.txt;</code></pre>
DOI: 10.21258/1575920
title: Inventaire forestier national suisse - Tableau no 899629
DOI: 10.21258/1621164
title: Inventario forestale nazionale svizzero - Tabella n. 891677
DOI: 10.21258/1564321
title: Inventaire forestier national suisse - Tableau no 899363
DOI: 10.5281/zenodo.4317262
title: Common neighbor bias in the different regions of the Blue Brain rat SSCX model

description: The "common neighbor bias" refers to the tendency of neurons with many graph-theoretical common neighbors to be more likely to be connected to each other. This concept can be split into a bias for afferent and efferent common neighbors. We quantify it (for a given neuron) as the mean number of common neighbors with connected neurons, divided by the mean number of common neighbors with all other neurons. Further distinction can be made by limiting this analysis to pairs of given neuron types. In this dataset, we report samples of such common neighbor biases in different regions of the rat SSCX model of Blue Brain. We report biases separately for afferent and efferent common neighbors, and for different pre- and postsynaptic neuron types. Results are lists, where each entry in a list is a result for a single neuron of the indicated pre-synaptic neuron type, quantifying how it affects it connectivity to neurons of the indicated post-synaptic type. A value of 1.0 indicates no bias.
description: Read data in python using the pandas library: import pandas pandas.read_pickle("common_neighbor_db.pkl")
DOI: 10.5281/zenodo.4317261
title: Common neighbor bias in the different regions of the Blue Brain rat SSCX model

description: The "common neighbor bias" refers to the tendency of neurons with many graph-theoretical common neighbors to be more likely to be connected to each other. This concept can be split into a bias for afferent and efferent common neighbors. We quantify it (for a given neuron) as the mean number of common neighbors with connected neurons, divided by the mean number of common neighbors with all other neurons. Further distinction can be made by limiting this analysis to pairs of given neuron types. In this dataset, we report samples of such common neighbor biases in different regions of the rat SSCX model of Blue Brain. We report biases separately for afferent and efferent common neighbors, and for different pre- and postsynaptic neuron types. Results are lists, where each entry in a list is a result for a single neuron of the indicated pre-synaptic neuron type, quantifying how it affects it connectivity to neurons of the indicated post-synaptic type. A value of 1.0 indicates no bias.
description: Read data in python using the pandas library: import pandas pandas.read_pickle("common_neighbor_db.pkl")
DOI: 10.21258/1565792
title: Inventaire forestier national suisse - Tableau no 898723
DOI: 10.21258/1559485
title: Inventaire forestier national suisse - Tableau no 897282
DOI: 10.25625/niderq/ijkl0m
title: Figure6_data.mat

description: :unav
DOI: 10.25625/niderq/xlbeg3
title: Figure5_data.mat

description: :unav
DOI: 10.25625/niderq/ezyseu
title: Figure3_data.mat

description: :unav
DOI: 10.25625/niderq/hlfwzn
title: Figure4_data.mat

description: :unav
DOI: 10.25625/niderq
title: GIET and MIET

description: Data for Figures 3,4,5 and 6. All data files are standard .mat files . These files can be opened in MATLAB.
DOI: 10.21258/1560679
title: Inventaire forestier national suisse - Tableau no 891693
DOI: 10.21258/1563918
title: Inventaire forestier national suisse - Tableau no 898764
DOI: 10.5517/ccdc.csd.cc246q58
title: CCDC 1972659: Experimental Crystal Structure Determination

description: Related Article: Yong‐Zhi Li, Gang‐Ding Wang, Hong‐Yun Yang, Lei Hou, Yao‐Yu Wang, Zhonghua Zhu|2020|Chem.-Eur.J.|26|16402|doi:10.1002/chem.202002751
DOI: 10.5517/ccdc.csd.cc25f5xq
title: CCDC 2008673: Experimental Crystal Structure Determination

description: Related Article: Oksana Toma, Nicolas Mercier, Magali Allain, Francesco Meinardi, Alessandra Forni, Chiara Botta|2020|Cryst.Growth Des.|20|7658|doi:10.1021/acs.cgd.0c00872
DOI: 10.5517/ccdc.csd.cc25f5yr
title: CCDC 2008674: Experimental Crystal Structure Determination

description: Related Article: Oksana Toma, Nicolas Mercier, Magali Allain, Francesco Meinardi, Alessandra Forni, Chiara Botta|2020|Cryst.Growth Des.|20|7658|doi:10.1021/acs.cgd.0c00872