cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4531502
title: InpactorDB: A Plant classified lineage-level LTR retrotransposon reference library for free-alignment methods based on Machine Learning

description: LTR retrotransposons are mobile elements that make up the major part of most plant genomes. Their identification and annotation via bioinformatics approaches represent a major challenge in the era of massive plant genome sequencing. In addition to their involvement in the variation in genome size, these elements are also associated in the function and structure of different chromosomal regions and in the alteration of the function of coding regions, among others. Several plant retrotransposon sequence databases of LTR retrotransposons are available with public access such as PGSB, RepetDB or restricted access such as Repbase. Although they are useful for approaches to identify LTR-RTs in new genomes by similarity, the elements of these databases are not classified down to the lineage/family level. with great depth. Here, we present InpactorDB a semi-curated dataset composed of 130,511 elements from 195 plant genomes (belonging to 108 plant species), classified down to the lineage level. This data set has been used to train two deep neural networks (one fully connected and one convolutional) for fast classification of elements. Used in lineage-level classification approaches, we obtain a score above 98% of F1-score, precision and recall. In order to classify elements of the ‘LTR_STRUC’ and ‘EDTA’ datasets, we used the methodology proposed by Inpactor, which uses homology-based strategy with known coding domains belonging to LTR-RTs. We utilized the RexDB domain library as reference. LTR-RTs were classified into superfamilies, Gypsy (RLG) or Copia (RLC) and sub-classified into lineages according to the similarities of five different amino acid reference domains (GAG, AP, RT, RNAseH, and INT domains). In addition, we applied filters to remove keep only intact elements: 1) to remove predicted elements with domains from two different superfamilies (i.e. Gypsy and Copia), 2) or elements with domains belonging to two or more different lineages, 3) to remove elements with lengths different than those reported by Gypsy Database (GyDB) with a tolerance of 20%, 4) to delete incomplete elements which has less than three identified domains, and 5) to remove elements with insertions of TE class II (reported in Repbase). The final non-redundant version of InpactorDB consists of 67,305 LTR retrotransposons. Both redundant and non-redundant versions of InpactorDB are available in Fasta format in which sequences have identifiers with the following general Identification code: &gt;Superfamily-Lineage-plant_family-specie-source-length-ID, Where Superfamily can is either RLC (for Copia) or RLG (for Gypsy), Lineage/family follows following the RexDB nomenclature, source (can be Repbase, RepetDB, PGSB, LTR_STRUC or EDTA datasets), length, and ID, is a unique number which identify each element inside the InpactorDB.
DOI: 10.15468/pm4brm
title: Discovery of the chelonine tribeAdeliini Viereck, 1918 (Hymenoptera: Braconidae) from the Indian subcontinent with the description of a new genus from south India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ranjith, A. P., Achterberg, C. Van, Samartsev, K. G., Nasser, M. (2021): Discovery of the chelonine tribeAdeliini Viereck, 1918 (Hymenoptera: Braconidae) from the Indian subcontinent with the description of a new genus from south India. Zootaxa 4926 (1): 1-25, DOI: https://doi.org/10.11646/zootaxa.4926.1.1
DOI: 10.15468/wf49v5
title: A striking new species of Papuan groundsnake (Stegonotus: Colubridae) from southern Papua New Guinea, with a dichotomous key to the genus in New Guinea

description: This dataset contains the digitized treatments in Plazi based on the original journal article O’Shea, Mark, Richards, Stephen J. (2021): A striking new species of Papuan groundsnake (Stegonotus: Colubridae) from southern Papua New Guinea, with a dichotomous key to the genus in New Guinea. Zootaxa 4926 (1): 26-42, DOI: https://doi.org/10.11646/zootaxa.4926.1.2
DOI: 10.25345/c56b8v
title: MassIVE MSV000086835 - Comparative proteomic analysis of the three main morphotypes of the diatom Phaeodactylum tricornutum
title: Phaeodactylum tricornutum is an atypical diatom since it can display three main morphotypes: fusiform, triradiate and oval. Such pleiomorphism is possible thanks to an original metabolism, which is tightly regulated in order to acclimate to environmental conditions. Currently, studies dedicated to the comparison of each morphotype issued from one specific strain are scarce and little information is available regarding the physiological significance of this morphogenesis. In this study, we performed a comparative proteomic analysis of intracellular protein extracts and secretomes of the three morphotypes from P. tricornutum. Cultures particularly enriched in one dominant morphotype: fusiform, triradiate or oval of P. tricornutum Pt3 strain were used. Pairwise comparisons highlighted biological processes which are up- and down-regulated in each morphotype as compared to the fusiform one used as a reference.
DOI: 10.15468/7w5d5g
title: Mecidea longula Stål (Heteroptera: Pentatomidae: Pentatominae: Mecideini) is established in south Florida

description: This dataset contains the digitized treatments in Plazi based on the original journal article Joseph E. Eger, Jr., Dobbs, Thomas T. (2010): Mecidea longula Stål (Heteroptera: Pentatomidae: Pentatominae: Mecideini) is established in south Florida. Insecta Mundi 2010 (109): 1-5, DOI: http://doi.org/10.5281/zenodo.4531533
DOI: 10.5066/p9y53fx3
title: Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1

description: The USGS Wyoming-Montana Water Science Center (WY?MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY?MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).
DOI: 10.5066/p934k8t0
title: EverWaders species distribution model development and output in the Greater Everglades from 2000-2009

description: Restoration of the Florida Everglades, a substantial wetland ecosystem within the United States, is one of the largest ongoing restoration projects in the world. Decision-makers and managers within the Everglades ecosystem rely on ecological models forecasting indicator wildlife response to changes in the management of water flows within the system. One such indicator of ecosystem health, the presence of wading bird communities on the landscape, is currently assessed using three species distribution models that assume perfect detection and report output on different scales that are challenging to compare against one another. We sought to use current advancements in species distribution modeling to improve models of Everglades wading bird distribution. Using a joint species distribution model that accounted for imperfect detection, we modeled the presence of nine species of wading bird simultaneously in response to annual hydrologic conditions and landscape characteristics within the Everglades system. Our resulting model improved upon the previous model in three key ways: 1) the model predicts probability of occupancy for the nine species on a scale of 0-1, making the output more intuitive and easily comparable for managers and decision-makers that must consider the responses of several species simultaneously; 2) through joint species modeling, we were able to consider rarer species within the modeling that otherwise are detected in too few numbers to fit as individual models; and 3) the model explicitly allows detection probability of species to be less than 1 which can reduce bias in the site occupancy estimates. These improvements are essential as Everglades restoration continues and managers require models that consider the impacts of water management on key indicator wildlife such as the wading bird community.
DOI: 10.5517/ccdc.csd.cc123kj8
title: CCDC 986529: Experimental Crystal Structure Determination

description: Related Article: Rahul Kadu, Chirag Savani, Hetal Roy, P. H Soni, Atresh Kumar Singh, Dushyanth R. Vennapu, Vinay K. Singh|2020|J.Mol.Struct.|1230|129635|doi:10.1016/j.molstruc.2020.129635
DOI: 10.5517/ccdc.csd.cc123kk9
title: CCDC 986530: Experimental Crystal Structure Determination

description: Related Article: Rahul Kadu, Chirag Savani, Hetal Roy, P. H Soni, Atresh Kumar Singh, Dushyanth R. Vennapu, Vinay K. Singh|2020|J.Mol.Struct.|1230|129635|doi:10.1016/j.molstruc.2020.129635
DOI: 10.5517/ccdc.csd.cc123klb
title: CCDC 986531: Experimental Crystal Structure Determination

description: Related Article: Rahul Kadu, Chirag Savani, Hetal Roy, P. H Soni, Atresh Kumar Singh, Dushyanth R. Vennapu, Vinay K. Singh|2020|J.Mol.Struct.|1230|129635|doi:10.1016/j.molstruc.2020.129635
DOI: 10.5517/ccdc.csd.cc123kmc
title: CCDC 986532: Experimental Crystal Structure Determination

description: Related Article: Rahul Kadu, Chirag Savani, Hetal Roy, P. H Soni, Atresh Kumar Singh, Dushyanth R. Vennapu, Vinay K. Singh|2020|J.Mol.Struct.|1230|129635|doi:10.1016/j.molstruc.2020.129635
DOI: 10.5517/ccdc.csd.cc123knd
title: CCDC 986533: Experimental Crystal Structure Determination

description: Related Article: Rahul Kadu, Chirag Savani, Hetal Roy, P. H Soni, Atresh Kumar Singh, Dushyanth R. Vennapu, Vinay K. Singh|2020|J.Mol.Struct.|1230|129635|doi:10.1016/j.molstruc.2020.129635
DOI: 10.5517/ccdc.csd.cc21h3qd
title: CCDC 1891363: Experimental Crystal Structure Determination

description: Related Article: Abhineet Verma, S. K. Saddam Hossain, Sailaja S. Sunkari, Joseph Reibenspies, Satyen Saha|2021|New J.Chem.|45|2696|doi:10.1039/D0NJ04020G
DOI: 10.5517/ccdc.csd.cc1z3rlf
title: CCDC 1820865: Experimental Crystal Structure Determination

description: Related Article: G. Rajasekar, M.K. Dhatchaiyini, A. Bhaskaran|2020|J.Mol.Struct.|1230|129663|doi:10.1016/j.molstruc.2020.129663
DOI: 10.5517/ccdc.csd.cc20t2fc
title: CCDC 1871142: Experimental Crystal Structure Determination

description: Related Article: Mahtab Alipour, Niloufar Dorosti, Maciej Kubicki|2020|J.Mol.Struct.|1230|129630|doi:10.1016/j.molstruc.2020.129630
DOI: 10.5517/ccdc.csd.cc21h3rf
title: CCDC 1891364: Experimental Crystal Structure Determination

description: Related Article: Abhineet Verma, S. K. Saddam Hossain, Sailaja S. Sunkari, Joseph Reibenspies, Satyen Saha|2021|New J.Chem.|45|2696|doi:10.1039/D0NJ04020G
DOI: 10.5517/ccdc.csd.cc230rxt
title: CCDC 1937156: Experimental Crystal Structure Determination

description: Related Article: Jie Dong, Xiang-Ai Yuan, Zhongfei Yan, Liying Mu, Junyang Ma, Chengjian Zhu, Jin Xie|2021|Nature Chemistry|13|182|doi:10.1038/s41557-020-00589-8
DOI: 10.5517/ccdc.csd.cc249khj
title: CCDC 1975397: Experimental Crystal Structure Determination

description: Related Article: Fang Liang, Miao Lu, Yu-Hang Zhang, Qi Shi, Fa-Nian Shi|2020|J.Mol.Struct.|1230|129636|doi:10.1016/j.molstruc.2020.129636
DOI: 10.5517/ccdc.csd.cc24lnm1
title: CCDC 1984143: Experimental Crystal Structure Determination

description: Related Article: Bishnu Prasad Borah, Smita Majumder, Karishma Devi Borah, Jagannath Bhuyan|2020|J.Mol.Struct.|1230|129646|doi:10.1016/j.molstruc.2020.129646
DOI: 10.5517/ccdc.csd.cc259nlr
title: CCDC 2005284: Experimental Crystal Structure Determination

description: Related Article: J.E. Galván, O.E. Piro, G. Echeverria, R.D.I. Molina, M.E. Arena, E. Contreras Aguilar, S.E. Ulic, M.E. Tuttolomondo, A. Ben Altabef|2020|J.Mol.Struct.|1230|129655|doi:10.1016/j.molstruc.2020.129655
DOI: 10.5517/ccdc.csd.cc25rkyg
title: CCDC 2018656: Experimental Crystal Structure Determination

description: Related Article: Ginikachukwu Grace Nnabuike, Sukanta Mondal, Sunita Salunke-Gawali, Archana S. Patil, Ray J. Butcher, Joshua Ayoola Obaleye|2020|J.Mol.Struct.|1230|129632|doi:10.1016/j.molstruc.2020.129632
DOI: 10.5517/ccdc.csd.cc25rkzh
title: CCDC 2018657: Experimental Crystal Structure Determination

description: Related Article: Ginikachukwu Grace Nnabuike, Sukanta Mondal, Sunita Salunke-Gawali, Archana S. Patil, Ray J. Butcher, Joshua Ayoola Obaleye|2020|J.Mol.Struct.|1230|129632|doi:10.1016/j.molstruc.2020.129632
DOI: 10.5517/ccdc.csd.cc25rl0k
title: CCDC 2018658: Experimental Crystal Structure Determination

description: Related Article: Ginikachukwu Grace Nnabuike, Sukanta Mondal, Sunita Salunke-Gawali, Archana S. Patil, Ray J. Butcher, Joshua Ayoola Obaleye|2020|J.Mol.Struct.|1230|129632|doi:10.1016/j.molstruc.2020.129632
DOI: 10.5517/ccdc.csd.cc25rl1l
title: CCDC 2018659: Experimental Crystal Structure Determination

description: Related Article: Ginikachukwu Grace Nnabuike, Sukanta Mondal, Sunita Salunke-Gawali, Archana S. Patil, Ray J. Butcher, Joshua Ayoola Obaleye|2020|J.Mol.Struct.|1230|129632|doi:10.1016/j.molstruc.2020.129632
DOI: 10.5517/ccdc.csd.cc25v91d
title: CCDC 2021263: Experimental Crystal Structure Determination

description: Related Article: Jan Janczak|2020|J.Mol.Struct.|1230|129626|doi:10.1016/j.molstruc.2020.129626
DOI: 10.5517/ccdc.csd.cc25v92f
title: CCDC 2021264: Experimental Crystal Structure Determination

description: Related Article: Jan Janczak|2020|J.Mol.Struct.|1230|129626|doi:10.1016/j.molstruc.2020.129626
DOI: 10.5517/ccdc.csd.cc25v93g
title: CCDC 2021265: Experimental Crystal Structure Determination

description: Related Article: Jan Janczak|2020|J.Mol.Struct.|1230|129626|doi:10.1016/j.molstruc.2020.129626
DOI: 10.5517/ccdc.csd.cc25vnj7
title: CCDC 2021619: Experimental Crystal Structure Determination

description: Related Article: Abhineet Verma, S. K. Saddam Hossain, Sailaja S. Sunkari, Joseph Reibenspies, Satyen Saha|2021|New J.Chem.|45|2696|doi:10.1039/D0NJ04020G
DOI: 10.5517/ccdc.csd.cc22773p
title: CCDC 1913571: Experimental Crystal Structure Determination

description: Related Article: Abhineet Verma, S. K. Saddam Hossain, Sailaja S. Sunkari, Joseph Reibenspies, Satyen Saha|2021|New J.Chem.|45|2696|doi:10.1039/D0NJ04020G
DOI: 10.5517/ccdc.csd.cc25wb8p
title: CCDC 2022262: Experimental Crystal Structure Determination

description: Related Article: Shu-Zhen Zhang, Geng Guo, Wen-Min Ding, Juan Li, Ya Wu, Hong-Jia Zhang, Jian-Qiang Guo, Yin-Xia Sun|2020|J.Mol.Struct.|1230|129627|doi:10.1016/j.molstruc.2020.129627
DOI: 10.5517/ccdc.csd.cc25wb9q
title: CCDC 2022263: Experimental Crystal Structure Determination

description: Related Article: Shu-Zhen Zhang, Geng Guo, Wen-Min Ding, Juan Li, Ya Wu, Hong-Jia Zhang, Jian-Qiang Guo, Yin-Xia Sun|2020|J.Mol.Struct.|1230|129627|doi:10.1016/j.molstruc.2020.129627
DOI: 10.5517/ccdc.csd.cc24cb40
title: CCDC 1977091: Experimental Crystal Structure Determination

description: Related Article: Yu nan Zhang, Yan fei Zhang, Liang Chang, Yuan-yuan Ji, Li-xin Liu, Yan ru Feng, Li li Wu, Lei Zhang, Yun-jie Zhang, Dong yu Zou, Ying li Liu, Xin SuYu, nan Zhang, Yan fei Zhang, Liang Chang, Yuan yuan Ji, Li xin Liu, Yan ru Feng, Li-li Wu, Lei Zhang, Yun jie Zhang, Dong yu Zou, Ying li Liu, Xin Su|2020|J.Mol.Struct.|1230|129631|doi:10.1016/j.molstruc.2020.129631
DOI: 10.5517/ccdc.csd.cc268ftr
title: CCDC 2033904: Experimental Crystal Structure Determination

description: Related Article: Daniel Umereweneza, Yoseph Atilaw, Anastasia Rudenko, Yukino Gütlin, Catarina Bourgard, Arvind Kumar Gupta, Andreas Orthaber, Théoneste Muhizi, Per Sunnerhagen, Máté Erdélyi, Adolf Gogoll|2021|Fitoterapia|149|104809|doi:10.1016/j.fitote.2020.104809
DOI: 10.5281/zenodo.4519772
title: Tree species phenology survey suitable for Sentinel-2

description: Phenological monitoring for 14 plots of 7 deciduous tree species from 2017 to end of 2019 located in the south west of France near the city of Toulouse. Temporal revisit was every 10 day according to the day of visit of Sentinel-2. Plots are homogeneous in the dominant species on more than 10 x 10 m. Species surveyed are (two plots for each) : Aspen (<em>Populus</em>) Black robust (<em>Robinia pseudoacacia)</em> European ash (<em>Fraxis excelsior</em>) Oak (<em>Quercus petraea</em>) Red oak (<em>Quercus rubra)</em> Silver birch (<em>Betula pendula</em>) Willow (<em>Salix alba)</em> Each table (<em>phenosurvey_{year}.csv</em>) corresponds to a year of survey. Available columns are : 'plot', 'latin_name', 'gb_name','fr_name','date', 'photo', 'BBCH', 'BBCH_flower', 'CACLOSURE', 'CACO', 'CACOmodified', 'CHLO', 'comment'. <code>More information are available in the README.pdf file.</code>
DOI: 10.5281/zenodo.3994731
title: Tree species phenology survey suitable for Sentinel-2

description: Phenological monitoring for 14 plots of 7 deciduous tree species from 2017 to end of 2019 located in the south west of France near the city of Toulouse. Temporal revisit was every 10 day according to the day of visit of Sentinel-2. Plots are homogeneous in the dominant species on more than 10 x 10 m. Species surveyed are (two plots for each) : Aspen (<em>Populus</em>) Black robust (<em>Robinia pseudoacacia)</em> European ash (<em>Fraxis excelsior</em>) Oak (<em>Quercus petraea</em>) Red oak (<em>Quercus rubra)</em> Silver birch (<em>Betula pendula</em>) Willow (<em>Salix alba)</em> Each table (<em>phenosurvey_{year}.csv</em>) corresponds to a year of survey. Available columns are : 'plot', 'latin_name', 'gb_name','fr_name','date', 'photo', 'BBCH', 'BBCH_flower', 'CACLOSURE', 'CACO', 'CACOmodified', 'CHLO', 'comment'. <code>More information are available in the README.pdf file.</code>
DOI: 10.6084/m9.figshare.13864970
title: Sparse Thalamocortical Convergence

description: Data represents the raw kernels and 2D Gaussian fits for the analyses in D. Ringach "Sparse thalamocortical connectivity", Current Biology, 2021.
DOI: 10.5063/g44nqz
title: Designcraft for experiments: Backyard Bioblitz

description: A set of remote exercises exploring experimental design for the life sciences. A total of three independent labs were done to focus on different design principles, sampling techniques, and taxa. Exercises are described in full in this open access manual entitled Designcraft for experiments. Data were collected by students in a third-year biology course offering at York University in Toronto, ON, Canada. Students collected the data and published individual datasets to figshare with a CCBY4.0 licensing. Data were then compiled for each lab including balcony birdwatching, backyard bioblitz, and solo surveys by M. Zuliani (ORCID: 0000-0001-8114-3609) and M. Owen (ORCID: 0000-0002-9931-4522). The provenance of each independent observation in the compiled data was recognized by attribution to the initials of the primary data author including citation via DOI and link to figshare.AttributionCJL designed the experiments.Students in course offering collected, innovated, and published individual, primary datasets.MZ, MO, and CJL reviewed the compiled data.MetadataRecord-levelyear is the calendar year of work not termexperiment describes the three experimental options in designcraft booksource is either full experiment or pilot experimentrep is the replicate per experimental setlocation is the site name locallyhabitat is the ecological classificationdate is the calendar date for each observation
DOI: 10.6084/m9.figshare.13725546
title: A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images

description: Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development, and clinical applications. Easy access to RT-MRI is however limited, and comprehensive datasets with broad access are needed to catalyze research across numerous domains. The imaging of the rapidly moving articulators and dynamic airway shaping during speech demands high spatio-temporal resolution and robust reconstruction methods. Further, while reconstructed images have been published, to-date there is no open dataset providing raw multi-coil RT-MRI data from an optimized speech production experimental setup. Such datasets could enable new and improved methods for dynamic image reconstruction, artifact correction, feature extraction, and direct extraction of linguistically-relevant biomarkers.<br>The present dataset offers a unique corpus of 2D sagittal-view RT-MRI videos along with synchronized audio for 75 subjects performing linguistically motivated speech tasks, alongside the corresponding first-ever public domain raw RT-MRI data. The dataset also includes 3D volumetric vocal tract MRI during sustained speech sounds and high-resolution static anatomical T2-weighted upper airway MRI for each subject.<br><br>Included are the following files:<i>dataset.zip</i>: contains the entire dataset of 75 subjects<i>dataset_2drt_video_only.zip</i>: contains only files of 2D RT-MRI videos of 75 subjects<i>dataset_t2w_only.zip</i>: contains only files of T2-weighted images of 75 subjects<i>dataset_3d_only.zip</i>: contains only files of 3D volumetric images of 75 subjects <br><i>example_for_sub001.zip</i>: contains all files of 1 subject (sub001)<br><i>metafile_public_20210129.json</i>: contains meta information<i>Subjects.xlsx</i>: contains demographic information for each subject<i>Stimuli.pptx</i>: contains the experimental stimuli including scripts and pictures used for the visualization to the subjects<br>
DOI: 10.25387/g3.13791607
title: Supplemental Material for Fourie et al., 2021

description: Supplementary figure indicating the overlap between our differentially regulated genes and those of previous studies as well as various tables indicating differentially regulated genes in our datasets<br>
DOI: 10.25387/g3.13791607.v1
title: Supplemental Material for Fourie et al., 2021

description: Supplementary figure indicating the overlap between our differentially regulated genes and those of previous studies as well as various tables indicating differentially regulated genes in our datasets<br>
DOI: 10.15468/7kthde
title: Henoticonus bouchardi Grouvelle transferred to Trogocryptoides Champion (Coleoptera: Salpingidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Skelley, Paul (2013): Henoticonus bouchardi Grouvelle transferred to Trogocryptoides Champion (Coleoptera: Salpingidae). Insecta Mundi 2013 (281): 1-4, DOI: http://doi.org/10.5281/zenodo.4531660
DOI: 10.15468/s6gt2u
title: A new species of the genus Onychopygia Beier (Orthoptera: Tettigoniidae: Pseudophyllinae) from Guatemala

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cadena-Castañeda, Oscar J., Monzón-Sierra, José (2014): A new species of the genus Onychopygia Beier (Orthoptera: Tettigoniidae: Pseudophyllinae) from Guatemala. Insecta Mundi 2014 (329): 1-8, DOI: http://doi.org/10.5281/zenodo.4531666
DOI: 10.5281/zenodo.4479129
title: Model intercomparison of COSMO 5.0 and IFS 45r1 at kilometer-scale grid spacing

description: Simulation output data from COSMO and IFS used to produce the figures in the model intercomparison paper (https://doi.org/10.5194/gmd-2021-31), as well as the data used for initializing the soil in COSMO. The output data is partitioned into different parts: cosmo_hordiff.tar:<br> Model output from COSMO for the horizontal diffusion experiment. cosmo_standard.tar:<br> Model output from COSMO for the standard experiment. ifs_standard.tar:<br> Model output from IFS for the standard experiment. soil_cosmo_ini_vergara2021_avg_mayjune_12km.nc:<br> Initial conditions for the soil model used in COSMO.