cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3539514
title: High-resolution ptychotomography dataset of nanoporous glass

description: This repository contains nanoporous glass tomography dataset, acquired at the cSAXS beamline at the Swiss Light Source at the Paul Scherrer Institute in Villigen (Switzerland). Details about the data acquisition can be found in Ref. [1]. <strong>Citation and acknowledgements</strong> For use of the ptychographic X-ray computed tomography dataset on nanoporous glass: [1] M. Holler, A. Diaz, M. Guizar-Sicairos, P. Karvinen, E. Färm, E. Härkönen, M. Ritala, A. Menzel, J. Raabe and O. Bunk. Scientific Reports, 4, 3857 (2014). <strong>Dataset description</strong> Provided dataset contain following two variables is saved in Matlab MAT 7.3 format.<br> <em>Note: this dataset contains complex valued projection before phase unwrapping and alignment. </em> <em>stack_object</em> - complex valued unaligned projection with dimensions [Npix_vertical , Npix_horizontal, number_of_angles] <em>theta</em> - vector of corresponding projection angles in degrees
description: {"references": ["Holler, Mirko, et al. \"X-ray ptychographic computed tomography at 16 nm isotropic 3D resolution.\" Scientific reports 4 (2014): 3857."]}
DOI: 10.7910/dvn/brnub5/ccpvhp
title: SVS13C.cont1.3mm.robust1.pbcor.fits
DOI: 10.7910/dvn/brnub5/dipi0b
title: SVS13C.HCOP43.robust-1.pbcor.fits
DOI: 10.7910/dvn/brnub5/iwjwqu
title: SVS13C.12CO32.robust1.pbcor.fits
DOI: 10.7910/dvn/brnub5/jq3vrr
title: SVS13C.13CO21.robust1.pbcor.fits
DOI: 10.7910/dvn/brnub5/kfxqef
title: SVS13C.cont1.3mm.robust-1.pbcor.fits
DOI: 10.7910/dvn/brnub5/lyqm5t
title: SVS13C.12CO32.robust-1.pbcor.fits
DOI: 10.7910/dvn/brnub5/nmszws
title: SVS13C.HCOP43.robust1.pbcor.fits
DOI: 10.7910/dvn/brnub5/qihqvl
title: SVS13C.13CO21.robust-1.pbcor.fits
DOI: 10.7910/dvn/brnub5/uvskfh
title: SVS13C.N2DP.robust1.pbcor.fits
DOI: 10.17632/sxd8kmzp8r.1
title: Data for: Exploring Why Global Health Needs Are Unmet by Public Research Efforts: The Potential Influences of Geography, Industry, and Publication Incentives

description: Additional File 2 provides the data behind the graphs in the associated article, which compares publications and disease burden statistics. Additional File 3 provides a correspondence table between diseases as defined by the International Classification of Disease (10) and Medical Subject Heading (MeSH) in the bibliographic database MEDLine.
DOI: 10.7910/dvn/brnub5/0ebtko
title: SVS13C.H13COP43.robust1.pbcor.fits
DOI: 10.7910/dvn/brnub5/0uefig
title: SVS13C.dcop32.robust1.fits
DOI: 10.7910/dvn/brnub5/fmtqte
title: SVS13C.cont850um.robust1.pbcor.fits
DOI: 10.7910/dvn/brnub5/h40nxm
title: SVS13C.h2co303.robust1.fits
DOI: 10.7910/dvn/brnub5/kzlbja
title: SVS13C.cont850um.robust-1.pbcor.fits
DOI: 10.7910/dvn/brnub5/vngoxp
title: SVS13C.H13COP43.robust-1.pbcor.fits
DOI: 10.7910/dvn/brnub5/xrwqdt
title: SVS13C.dcn32.robust1.fits
DOI: 10.17632/2854pphnx4.1
title: brands search in google

description: The database refers to secondary data collected on Google Trends (https://trends.google.com/), representing the search for brands owned by born global firms: GoPro, Twitter, Netflix, Spotify, Airbnb, Uber, and Snapchat; it also includes data refering to the search of brands such as Galaxy, iPhone and iPad, that are owned by companies that cannot be considered born global firms but are still considered innovative. The database presentes all the search traffic history since the brands first arrived in the consumer's ears (differently from well-established brands of multinational companies) because they're launched after 2004. For each brand, it's presented both the absolute and accumulated indexes of the frequency with which the brands are sought on Google. The index is built by the normalization of the real number and presented on a scale from 0 to 100, where each point is divided by the highest point or 100 (“Google Trends: Understanding the data,” n.d.); indexes were chosed instead of real numbers of searches because this enables the comparison of brands in their different stages of maturity.
DOI: 10.17632/ht7bptnb6p.1
title: Oxidized low-density lipoprotein and PCAT

description: Oxidized low-density lipoprotein which is stored in human pericoronary adipose tissue is transported by macrophage phenotypes through fragmented external elastic lamina and disrupted internal elastic lamina into coronary intima (plaque) and accelerate atheroslcerosis.
DOI: 10.18112/openneuro.ds002311.v1.1.0
title: Multiple-object tracking as atool for parametrically modulating memory reactivation
DOI: 10.5284/1057499
title: Mount Pleasant Farm, Darlington: archaeological building recording (OASIS ID: archaeol3-349643)

description: Level 2 survey of an 18th-century farmstead. The house contains a few vestiges of an older through-passage building. This archive presents the results of an archaeological recording project conducted in advance of works at Mount Pleasant Farm, Darlington. A photographic and drawn survey of the house and adjoining farm buildings has been carried out. The works were commissioned by Gentoo Homes / Bussey & Armstrong Ltd and conducted by Archaeological Services Durham University. Map evidence shows that that Mount Pleasant has always been an isolated single farmstead. The farm house and eight other buildings have been examined and recorded. All of the other farmstead buildings are modern sheds or shelters of no historical significance. The house at Mount Pleasant Farm was originally a through-passage building of rough stone. It was probably built in the early part of the 18th century, though it could be a little earlier. Such a simple building might have been in a single storey, or it might have had a loft. In the later 18th century it was substantially enlarged by the addition of an upper floor. Another extension in the first half of the 19th century doubled the size of the house. It is very likely that all of the earliest farm buildings were of similar rough stone construction, but it is noticeable that the barn used better stone than the house. This is because of the need to provide a strong structure to house machinery powered from the gin-gang that stood where the stable is today. No features related to the early mechanised working of the barn remain. Traces of the old rough stone survive in the workshop, the stable and the north-west wall of the barn. The latest building covered by this report is the cart shed and granary which was added to the steading in the second half of the 19th century. Through-passage buildings were not uncommon in the region but not many survive today. A notable example in the neighbourhood is a former parsonage at 54 The Green, Hurworth, which is listed at Grade II. This is an older building than the house at Mount Pleasant Farm, but like that building it was extended in the 18th century and altered in the 19th. Its cross-passage runs behind an inglenook with a fire beam, heck screen and salt cupboard. The Mount Pleasant house is smaller, later and simpler than the Hurworth example and it has been very extensively altered. It appears that most of the original stone house has been removed or changed.
DOI: 10.7910/dvn/brnub5/3el5ba
title: SVS13C.34so9887.robust1.fits
DOI: 10.7910/dvn/brnub5/5hzczf
title: SVS13C.so5645.robust1.fits
DOI: 10.7910/dvn/brnub5/cgvxtz
title: SVS13C.cn7252.robust1.fits
DOI: 10.7910/dvn/brnub5/fazayb
title: SVS13C.cn5232.robust1.fits
DOI: 10.7910/dvn/brnub5/irrslg
title: SVS13C.dcn54.robust1.fits
DOI: 10.7910/dvn/brnub5/l9hex4
title: SVS13C.h2co322.robust1.fits
DOI: 10.7910/dvn/brnub5/nrxsoi
title: SVS13C.c3h2.robust1.fits
DOI: 10.7910/dvn/brnub5/pwdero
title: SVS13C.cs76.robust1.fits
DOI: 10.7910/dvn/brnub5/sygaxk
title: SVS13C.h2co321.robust1.fits
DOI: 10.7910/dvn/brnub5/y30o6w
title: SVS13C.so5544.robust1.fits
DOI: 10.17632/y82fj6296z.1
title: Thermography for the differential diagnosis of vascular malformations

description: This dataset contains thermographic and classic imaging modalities (Doppler ultrasonography and magnetic resonance) of low- and high-flow vascular malformations. In the file supplement_1, there is a comparative between alike low- and high-flow malformations in visible and the infrared band. Arrows indicate the exact localization of the malformation. Pictures on the top row correspond to a high-flow arteriovenous malformation and snapshots on the bottom row to a low-flow capillary malformation. In the visible spectrum, both malformations are quite similar and the diagnosis by simple visual inspection is challenging. However, thermal images are quite different. In the case of the high-flow malformation, there are high temperature variations in the hand (up to 1ºC). Moreover, the hemodynamic flow between both hands is completely different. The malformation creates an asymmetry on the bloods distribution. For the low-flow malformation, temperature variations are much less intense (lower than 0.3ºC). The hemodynamic flow between both hands is more homogeneous. Likewise, in file supplement_2 there is a similar comparative analysis between high- and low-flow malformations in the back. Images in the top row correspond to a high-flow arteriovenous malformation and images on the bottom row correspond to a low-flow one. Again, thermal images display remarkable temperature variations for the high-flow malformation and a more homogeneous temperature distribution for the low-flow malformation. In file supplement_3, we provide for the two previous high-flow arteriovenous malformations thermal images among other classic imaging modalities, i.e. Doppler ecography and magnetic resonance. Thermal images provide complementary information about temperature that can be crucial for an early classification of the malformation. In file supplement_4, there are snapshots of the custom imaging system developed for this research work. It has two cameras that operate simultaneously. One operates in the visible spectrum and the other one in the infrared band. The second camera can measure absolute temperature values after calibration. A LCD display is available to visualize data from the sensors.
DOI: 10.7910/dvn/brnub5/2vjxk3
title: SVS13C.so8877.robust1.fits
DOI: 10.7910/dvn/brnub5/4thxxo
title: SVS13C.dcop54.robust1.fits
DOI: 10.7910/dvn/brnub5/a6g2xz
title: SVS13C.h13cn43.robust1.fits
DOI: 10.7910/dvn/brnub5/adb01s
title: SVS13C.hc18op43.robust1.fits
DOI: 10.7910/dvn/brnub5/ahqvsp
title: SVS13C.ocs2827.robust1.fits
DOI: 10.7910/dvn/brnub5/ajeoja
title: SVS13C.hnc43.robust1.fits
DOI: 10.7910/dvn/brnub5/gik5k9
title: SVS13C.hc15n43.robust1.fits
DOI: 10.7910/dvn/brnub5/mbb8m3
title: SVS13C.h13cop43.robust1.fits
DOI: 10.7910/dvn/brnub5/nhbai2
title: SVS13C.34so9887.robust-1.fits
DOI: 10.7910/dvn/brnub5/qdzadr
title: SVS13C.so7867.robust1.fits
DOI: 10.17632/pckrw3t4cx.1
title: Tree and Building

description: It contains Rhino 6 and Grasshopper files that I worked to create the simulation. Where, Treeandbuilding.3dm - it is the base file to open before running the grasshopper Rome_BE.gh - the algorithm for running replication of Rome Vijayawada-NoIntermediate_BE.gh - the algorithm to run Vijayawada, where the entire building is taken as single thermal zone Vijayawada-INtermediate_BE.gh - the algorithm to run Vijayawada, where the entire building is taken as two thermal zone
DOI: 10.17632/pw2wz39tsk.1
title: SELECTIVE PERSULFIDE DETECTION REVEALS EVOLUTIONARILY CONSERVED ANTI-AGING EFFECTS OF S-SULFHYDRATION
DOI: 10.5281/zenodo.3476884
title: DataSET for: Control of spintronic and electronic properties of bimetallic and vacancy-ordered vanadium carbide MXenes via surface functionalization

description: This data set contains the minimal file necessary to reproduce the DFT calculations contained in the publication:<br> Control of spintronic and electronic properties of bimetallic and vacancy-ordered vanadium carbide MXenes via surface functionalization. the dataset is available on GitLab: https://gitlab.com/praguelab/shuo2019_work1 (Project ID: 13583566) Final Latest tag at moment of submission: https://gitlab.com/praguelab/shuo2019_work1/-/tags/Accepted_manuscript The paper has been received for review on 16th October 2019, and accepted for publication 11th November 2019 in Journal of Physical Chemistry Chemical Physics DOI: 10.1039/c9cp05638f Preprint available on arXiv https://arxiv.org/abs/1910.01509 The work has been financed by Grantova´ Agentura, Univerzita Karlova (Grantova´ Agentura, Univerzita Karlova), OP VVV ‘‘Excellent Research Teams’’, project CUCAM, and International Mobility of Researchers at Charles University (CZ.02.2.69/0.0/0.0/16_027/0008495)
DOI: 10.5281/zenodo.3476885
title: DataSET for: Control of spintronic and electronic properties of bimetallic and vacancy-ordered vanadium carbide MXenes via surface functionalization

description: This data set contains the minimal file necessary to reproduce the DFT calculations contained in the publication:<br> Control of spintronic and electronic properties of bimetallic and vacancy-ordered vanadium carbide MXenes via surface functionalization. the dataset is available on GitLab: https://gitlab.com/praguelab/shuo2019_work1 (Project ID: 13583566) Final Latest tag at moment of submission: https://gitlab.com/praguelab/shuo2019_work1/-/tags/Accepted_manuscript The paper has been received for review on 16th October 2019, and accepted for publication 11th November 2019 in Journal of Physical Chemistry Chemical Physics DOI: 10.1039/c9cp05638f Preprint available on arXiv https://arxiv.org/abs/1910.01509 The work has been financed by Grantova´ Agentura, Univerzita Karlova (Grantova´ Agentura, Univerzita Karlova), OP VVV ‘‘Excellent Research Teams’’, project CUCAM, and International Mobility of Researchers at Charles University (CZ.02.2.69/0.0/0.0/16_027/0008495)
DOI: 10.5281/zenodo.3538285
title: GDML (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from quantum-machine.org. Molecular dynamics trajectories of small molecules: benzene, uracil, naphthalene, aspirin, salicylic acid malonaldehyde, ethanol, toluene, paracetamol, azobenzene, aspirin, toluene, and ethanol. Four levels of theory are available: PBE-TS, CCSD/cc-pVDZ, CCSD(T)/cc-pVDZ, and CCSD(T)/cc-pVTZ. Trajectories at the DFT level contain 10<sup>5</sup>-10<sup>6</sup> geometries. Trajectories at the wavefunction level contain 10<sup>3</sup> geometries. All molecules are neutral singlets. For more information, see http://qcarchive.molssi.org/apps/ml_datasets/.
description: {"references": ["Sch\u00fctt, K. T.; Arbabzadah, F.; Chmiela, S.; M\u00fcller, K. R. & Tkatchenko, A. Quantum-chemical insights from deep tensor neural networks Nat. Commun., 2017, 8, 13890. https://www.nature.com/articles/ncomms13890", "Chmiela, S.; Tkatchenko, A.; Sauceda, H. E.; Poltavsky, I.; Sch\u00fctt, K. T. & M\u00fcller, K.-R. Machine learning of accurate energy-conserving molecular force fields Sci. Adv., 2017, 3, e1603015. https://advances.sciencemag.org/content/3/5/e1603015", "Chmiela, S.; Sauceda, H. E.; M\u00fcller, K.-R. & Tkatchenko, A. Towards exact molecular dynamics simulations with machine-learned force fields. Nat. Commun., 2018, 9, 3887. https://www.nature.com/articles/s41467-018-06169-2", "Chmiela, S.; Sauceda, H. E.; Poltavsky, I.; M\u00fcller, K.-R. & Tkatchenko, A. sGDML: Constructing accurate and data efficient molecular force fields using machine learning. Comput. Phys. Commun., 2019, 240, 38-45. https://www.sciencedirect.com/science/article/pii/S0010465519300591?via%3Dihub", "Sauceda, H. E.; Chmiela, S.; Poltavsky, I.; M\u00fcller, K.-R. & Tkatchenko, A. Molecular force fields with gradient-domain machine learning: Construction and application to dynamics of small molecules with coupled cluster forces. J. Chem. Phys., 2019, 150, 114102. https://aip.scitation.org/doi/10.1063/1.5078687"]}
DOI: 10.5281/zenodo.3538286
title: GDML (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from quantum-machine.org. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.5281/zenodo.3538289
title: Solvated Protein Fragments (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from quantum-machine.org. Water-solvated protein fragments with up to 8 heavy atoms. Configurations are generated from MD, evaluated at the revPBE-D3(BJ)/def2-TZVP level of theory. Also included are fragment dimers and clusters of up to 40 water molecules. For more information, see http://qcarchive.molssi.org/apps/ml_datasets/.
description: {"references": ["Unke, O. T. & Meuwly, M. PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments, and Partial Charges. J. Chem. Theory Comput., 2019, 15, 3678-3693. https://doi.org/10.1021/acs.jctc.9b00181", "Unke, O. T. & Meuwly, M. Solvated protein fragments. Zenodo, 2019. https://zenodo.org/record/2605372"]}
DOI: 10.5281/zenodo.3538290
title: Solvated Protein Fragments (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from quantum-machine.org. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.7910/dvn/brnub5/2pe1zf
title: SVS13C.cn5232.robust-1.fits
DOI: 10.7910/dvn/brnub5/53qlwz
title: SVS13C.cs76.robust-1.fits
DOI: 10.7910/dvn/brnub5/evujwg
title: SVS13C.dcop54.robust-1.fits
DOI: 10.7910/dvn/brnub5/k7slli
title: SVS13C.hc15n43.robust-1.fits
DOI: 10.7910/dvn/brnub5/ppkxme
title: SVS13C.cn7252.robust-1.fits
DOI: 10.7910/dvn/brnub5/svrbdz
title: SVS13C.dcn54.robust-1.fits
DOI: 10.7910/dvn/brnub5/udtzz4
title: SVS13C.h13cn43.robust-1.fits
DOI: 10.7910/dvn/brnub5/vnz72u
title: SVS13C.hc18op43.robust-1.fits
DOI: 10.7910/dvn/brnub5/yemqck
title: SVS13C.so9887.robust1.fits
DOI: 10.17632/cdwzkcdcz3.1
title: The power of neuropeptide precursor sequences to reveal phylogenetic relationships in insects: a case study on Blattodea - Amino-acid matrices

description: Mafft-linsi assembled amino acid neuropeptide precursor sequences from 41 blattodean and 3 polyneopteran outgroup species; these data are deduced from transcriptome sequence assemblies obtained from the 1KITE project (Genbank Umbrella Bioproject ID PRJNA183205). For Zootermopsis nevadensis (Isoptera), annotated precursor sequences (Veenstra, 2014) were included in the alignments after their annotations were manually checked. Incomplete sequences are indicated with “?”. In total 17 individual neuropeptide precursor alignments are given. Additionally, a concatenated alignment of the complete dataset, a concatenated alignment of signal peptide sequences (calculated using SignalP-5.0) and a concatenated alignment of the remaining precursor without the signal peptide sequence (Propeptide) are given. Furthermore, a concatenated alignment of neuropeptide sequences and a concatenated alignment of the remaining precursor peptide sequences are given. In addition, concatenated alignments of single-copy and multiple-copy neuropeptides are given.
DOI: 10.7910/dvn/brnub5/5tjase
title: SVS13C.dcop32.robust-1.fits
DOI: 10.7910/dvn/brnub5/6a3rx0
title: SVS13C.ocs2827.robust-1.fits
DOI: 10.7910/dvn/brnub5/alokas
title: SVS13C.so7867.robust-1.fits
DOI: 10.7910/dvn/brnub5/bpljch
title: SVS13C.hnc43.robust-1.fits
DOI: 10.7910/dvn/brnub5/ilebhb
title: SVS13C.c3h2.robust-1.fits
DOI: 10.7910/dvn/brnub5/pq2r9j
title: SVS13C.so8877.robust-1.fits
DOI: 10.7910/dvn/brnub5/y8tq2q
title: SVS13C.so9887.robust-1.fits
DOI: 10.7910/dvn/brnub5/ynfq2m
title: SVS13C.dcn32.robust-1.fits
DOI: 10.17632/t5gc243vkn.1
title: Manipur: Existence of a Natural Protective Shield against Extreme Weather Conditions

description: Manipur, a land of the rising sun, is endowed with rich biodiversity and abundant natural resources. Despite inaccessibility, marginality and heterogeneity, the state has made good progress in agriculture and allied sectors. The presence of Mountains causes a barrier effect over the entire region which leads to a protective effect on the flora and fauna. This protective effect has been studied in this research.
DOI: 10.7910/dvn/brnub5/2lkbkd
title: SVS13C.so5645.robust-1.fits
DOI: 10.7910/dvn/brnub5/cbyqho
title: SVS13C.h2co322.robust-1.fits
DOI: 10.7910/dvn/brnub5/fbtwyb
title: SVS13C.dcn32.robust1.pbcor.fits
DOI: 10.7910/dvn/brnub5/i2eipz
title: SVS13C.c3h2.robust-1.pbcor.fits
DOI: 10.7910/dvn/brnub5/ibips9
title: SVS13C.so5544.robust-1.fits
DOI: 10.7910/dvn/brnub5/imbiz4
title: SVS13C.dcn32.robust-1.pbcor.fits
DOI: 10.7910/dvn/brnub5/iu4etk
title: SVS13C.h2co303.robust-1.fits
DOI: 10.7910/dvn/brnub5/rolm5p
title: SVS13C.sio54.robust-1.fits
DOI: 10.7910/dvn/brnub5/v9ebpw
title: SVS13C.h2co321.robust-1.fits
DOI: 10.7910/dvn/brnub5/wfvg2l
title: SVS13C.c3h2.robust1.pbcor.fits
DOI: 10.15151/esrf-es-187139586
title: Structural studies on transcriptional proof-reading
DOI: 10.17632/t5gc243vkn.2
title: Manipur: Existence of a Natural Protective Shield against Extreme Weather Conditions

description: Manipur, a land of the rising sun, is endowed with rich biodiversity and abundant natural resources. Despite inaccessibility, marginality and heterogeneity, the state has made good progress in agriculture and allied sectors. The presence of Mountains causes a barrier effect over the entire region which leads to a protective effect on the flora and fauna. This protective effect has been studied in this research.
DOI: 10.17632/zwhbvgy9cn.1
title: Data for: Turtle biogeography: Global regionalization and conservation priorities

description: 1. Presence-absence matrix with turtle species by HydroBASIN level-6 2. Biodiversity and conservation parameters used in the classification tree analyses.
DOI: 10.5281/zenodo.8219250
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Diana D. Jolles, https://orcid.org/0000-0002-9979-9072. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8219251
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Diana D. Jolles, https://orcid.org/0000-0002-9979-9072. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8133132
title: A Thematic Synthesis on Empathy in Software Engineering based on the Practitioners' Perspective - Supplementary Material

description: Old version, please see the new version: https://zenodo.org/record/8217909
DOI: 10.5281/zenodo.8219348
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hans von Berlepsch, http://www.wikidata.org/entity/Q61590. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q61590
DOI: 10.6084/m9.figshare.23896854
title: Political brand hate data

description: Data related to survey made to achieve researcher questions
DOI: 10.34740/kaggle/dsv/6259703
title: Balochi Language to English Translation Dataset
DOI: 10.34740/kaggle/dsv/6259694
title: Nigeria Food Ai Dataset
DOI: 10.5281/zenodo.8133669
title: Information regarding the particulate methane monooxygenase enzyme of known methanotrophs

description: A collection of information with regard to the particulate methane monooxygenase (pmmo) enzyme of known methanotrophs which was extracted from NCBI is published in this database.
DOI: 10.5281/zenodo.8133668
title: Information regarding the particulate methane monooxygenase enzyme of known methanotrophs

description: A collection of information with regard to the particulate methane monooxygenase (pmmo) enzyme of known methanotrophs which was extracted from NCBI is published in this database.
DOI: 10.5281/zenodo.8219424
title: mopalia_ciliata_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8219425
title: mopalia_ciliata_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8219449
title: katharina_tunicata_zanfona_1.fasta.gz

description: .