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12,753 results for “Corrections”

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zenodo36/100

Images and plotting code : Stray light correction and enhancement of nocturnal low-light image of early-morning-orbiting Fengyun-3E satellite

<p>These are images to demonstrate the effectiveness of the algorithm and plotting code : Stray light correction and enhancement of nocturnal low-light image of early-morning-orbiting Fengyun-3E satellite. Readme.pdf will provide specific instructions about these folder compression packages.</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Estonian Historical Newspaper Crowdsourced OCR Corrections

<div> <div>This dataset consists of newspaper articles from the National Library of Estonia's DIGAR archive and their respective crowdsourced corrections.</div> </div>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Physical dataset for OneFlow data/MC corrections

<p>This dataset contains two files (data and MC) with one million entries each. The synthetic samples resemble typical distributions in high-energy physics and emulate a mismodelling of Monte-Carlo simulated distributions that do not fully agree with data. The samples have one index and seven features (pT, eta, noise, v1A, v2A, v1B, v2B). The dataset features non-trivial correlations and conditioning of the latter four v-features on the first three variables pT, eta, and noise. The v1A and v2A features are Gaussian-like, whereas the v1B and v2B features are discontinuous.</p> <p>This dataset is well suited to explore correction methods, both morphing and reweighting, in a challenging setup.</p> <p>This dataset was used in the publication <a href="https://link.springer.com/article/10.1007/s41781-024-00125-0">One Flow to Correct Them all: Improving Simulations in High-Energy Physics with a Single Normalising Flow and a Switch</a> to demonstrate the suitability of a single normalising flow to morph the MC distribution into the data distribution. For more details on this, please refer to the publication.</p> <p>This dataset was generated using publicly available code at&nbsp;<a href="https://github.com/JaLuka98/OneFlowPublic/tree/master/data_generation">GitHub:OneFlowPublic</a></p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Similarity of CRISPR genes grouped by chromosome location with chromosome arm correction

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo36/100

Similarity of CRISPR genes grouped by chromosome location without chromosome arm correction

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo36/100

Dataset of the simulations in the GōMartini 3: From large conformational changes in proteins to environmental bias corrections

<p>This section describes the data files for the nanomechanics of SARS-CoV-2 RBD in complex with a potent nanobody (H11-H4) by GōMartini approach.</p> <p>(1) The <strong>data_4iu3.tar.xz</strong> file has all the files necessary to reproduce the pulling simulations of PDB ID 4IU3 using GōMartini methodology. The files are described below.</p> <p>---------------------------------------------------------------------------------------------------------------------------------------------</p> <p>https://www.rcsb.org/structure/4iu3</p> <p>Cohesin-dockerin -X domain complex from Ruminococcus flavefacience</p> <p>&nbsp;</p> <p>https://github.com/rams-research/OVrCSU</p> <p>http://pomalab.ippt.pan.pl/GoContactMap/</p> <p>--------------------------------------------------------------------------------------------------------------------------------------------</p> <p>4iu3.pdb&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : All-atoms PDB file</p> <p>4iu3.map&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : All-atoms OVrCSU contac map file</p> <p>A.pdb,B.pdb &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;: All-atoms Structures of Cohesin and Dockering, later referenced as molA and molB</p> <p>index.ndx &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : base index file</p> <p>martini_v3*.itp &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;: Martini3 force field definitions</p> <p>&nbsp;</p> <p>GoMartini, topology files:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; molA.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; molA_exclusions_VirtGoSites.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; molB.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; molB_exclusions_VirtGoSites.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; go-table_VirtGoSites_interface.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; go-table_VirtGoSites.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; topol.top</p> <p>&nbsp;</p> <p>GoMartini, GROMACS MDP equilibration and final GRO files:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; Pre-equilibration:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; min.mdp, min.gro</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; npt.mdp, npt,gro</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; nvt.mdp, nvt.gro</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; Equilibration MD run:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; md-corr.log</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; md-corr.mdp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; md-corr.edr</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; md-corr.gro</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; md-corr.tpr</p> <p>&nbsp;</p> <p>Topology and force field definitions:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/BB-part-def_VirtGoSites.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/go-table_VirtGoSites.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/index.ndx</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/martini_v3.0.4.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/martini_v3.0_ions.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/martini_v3.0_phospholipids.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/martini_v3.0_solvents.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/molA_exclusions_VirtGoSites.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/molA.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/molB_exclusions_VirtGoSites.itp</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/molB.itp</p> <p>&nbsp;</p> <p>Pulling MD runs from 100 runs ({1-100}), GROMACS files:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/md_pull_{1-100}-trajectory-protein.pdb : Trajectory in PDB format</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/md_pull_{1-100}_pullf.xvg&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : force profile</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/md_pull_{1-100}_pullx.xvg&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;: distance profile</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/md_pull_{1-100}.log&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : log files</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/md_pull_{1-100}.edr&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;: EDR files</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; GGG_pull/md_pull_{1-100}.tpr&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;: TPR files</p> <p>&nbsp;</p> <p>2) The&nbsp;<strong>data_6zh9_1.tar.xz</strong>, <strong>data_6zh9_2.tar.xz</strong>,<strong> &nbsp;data_6ZH9_GM2.tar.xz</strong>,<strong> </strong>and<strong> data_6ZH9_GM3.tar.xz </strong>files contain</p> <p>The dataset comprises a total of 50 replicas, each with a total of 751 snapshots, and the mdp and tpr files, which are located in the CG_Pull/Trajectories folder, for the RBD-H11-H4 complex. The gro, mdp and tpr files for NVT and NPT equilibrations are included.</p> <p>The force and displacement xvg files for each replica are included in the GC_Pull folder (pullf*.xvg and pullx*.xvg, respectively). The output files from GōMartini are included.</p> <p>The system consists of a single-domain antibody (i.e. nanobody) and the receptor-binding domain (RBD) portion of the SARS-CoV-2 spike protein. In this regard, the nanobody named H11-H4 and the RBD form a mechanostable protein complex with PDB ID: 6ZH9. The entire system was modeled by the Martini 3 force field. The same protocol as for the XMod-Doc:Coh complex was employed. The GōMartini model requires a total of 715 contacts divided into 404 and 285 for the RBD and the H11-H4 respectively and the protein complex interface was represented by 26 contacts. The value of the dissociation energy of the LJ potentials was set to a value of &epsilon; = 15.0 kJ/mol. The dimensions of the water box for the RBD-Nb complex were 16x12x90 nm3 with a 0.15 M NaCl. There were 135,669 CG water beads representing 542,676 water molecules.</p> <p>To conduct the nanomechanical studies, the positions of RBD residues GLY-526, PRO-527, and&nbsp; LYS-528 were kept frozen in the z-axis and the coordinates of residues SER-126, SER-127, and LYS-128 in H11-H4 were kept frozen in x- and y-axis, and were chosen for SMD simulation at constant speed.</p> <p>Two different protocols according to all-atom SMD simulation were considered. i) in&nbsp;<strong>data_6zh9_1.tar.xz: </strong>Restraints were applied to the backbone atoms of the RBD with a spring contact of kb =1000 kJ/(mol&middot;nm2) to avoid large deformation and the residue in the SMD protocol with velocity equal to 5x10-3 nm/ps was coupled to another harmonic potential with a spring constant equal to 600 kJ/(mol&middot;nm2) and ii)&nbsp;<strong>data_6zh9_2.tar.xz: </strong>Pulling velocity was equal to 1x10-4 nm/ps was coupled to another harmonic potential with a spring constant equal to 600 kJ/(mol&middot;nm2).&nbsp;</p> <p>The supplementary files <strong>data_6ZH9_GM2.tar.xz</strong> and <strong>data_6ZH9_GM3.tar.xz</strong> followed a similar protocol as <strong>data_6ZH9_2.tar.xz</strong>, with the following differences: the box size was set to 10 &times; 10 &times; 60 nm, and the spring constant was adjusted to 37.6 kJ/(mol&middot;nm&sup2;). For the GōMartini 2 model, the default value of &epsilon; = 9.414 kJ/mol was used.</p> <p>3) The <strong>IDP_GoMartini3.tar.gz </strong>file has the following folders:</p> <p>a) Atomistic</p> <p>The _atomistic_ directory contains subfolders for each of the IDPs tested. Each subdirectory contains the topology for the protein and an initial starting structure. There is also a folder of the mdp files used. In each simulation, the correct temperature as described in the manuscript was applied.</p> <p>b) Martini</p> <p>The _martini_ directory contains subfolders for each of the IDPs tested. Each subdirectory contains topology for the corresponding protein model tested, and the starting structure used. The TEMP variable in the mdp files was replaced with the experimentally corresponding temperature in each simulation.</p> <p>c) Condensate</p> <p>The _condensate_ directory contains two systems. The artifical IDP (_aIDP_) condensate system of Dzuricky et al. and the short peptides of Abbas et al. (_peptides_)</p> <p>_aIDP_ has two systems comparing the native and optimised topologies for the phase separation of the aIDP.</p> <p>_peptides_ contains a single system with topologies for protonated and deprotonated synthetic peptides, as well as the starting structures, and topology files for the differently rescaled protein-water interactions used.</p> <p>4) The WALPDATA.tar.gz has the following folders:</p> <p>a) ProteinITPs has all GROMACS itp files for the WALP &alpha;-helices &ndash; 16, 19, 23, and 27 denoted as WALP16, WALP29, WALP23 and WALP27 as well as the GōMartini inputs</p> <p>b) mdps and the script for preparing the mebrane for the WALP peptides PrepareMembranePeptideSim.ipynb</p> <p>5) The <strong>BetaSheet_GoMartini.tar.gz</strong> file has the following folders:</p> <p>molecule_0.itp &nbsp; is the itp file for beta strand 1.<br>molecule_1.itp &nbsp; is the itp file for beta strand 2.</p> <p>martini.itp &nbsp; &nbsp; &nbsp;is the Martini forcefield itp used.</p> <p>rCSU.map &nbsp; &nbsp; &nbsp; &nbsp; is the rCSU map generated.<br>OV.map &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; is the OV map generated.</p> <p><br>GoMartini files:</p> <p>&nbsp; &nbsp; molecule_0_exclusions_VirtGoSites.itp&nbsp;<br>&nbsp; &nbsp; molecule_0_BB-part-def_VirtGoSites.itp<br>&nbsp; &nbsp; molecule_0_go-table_IDPsolubility.itp &nbsp;<br>&nbsp; &nbsp; molecule_0_go-table_VirtGoSites.itp&nbsp;<br>&nbsp; &nbsp; molecule_0_go4view_harm.itp &nbsp;<br>&nbsp; &nbsp; BB-part-def_VirtGoSites.itp&nbsp;<br>&nbsp; &nbsp; go-table_VirtGoSites.itp&nbsp;</p> <p><br>mdp files used:</p> <p>&nbsp; &nbsp; min.mdp&nbsp;<br>&nbsp; &nbsp; rel_310.mdp&nbsp;<br>&nbsp; &nbsp; prod_310.mdp&nbsp;</p> <p>&nbsp;</p> <p>rada_sheet_canonical.pdb &nbsp; &nbsp; is the PDB file of the AA RADA16 structure.<br>rada_cg.pdb &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;is the PDB file of the Martini RADA16 structure.</p> <p>&nbsp;</p> <p>Inside folder Negative_Control is the topology file for<br>the system with no structural or interaction bias.</p> <p><br>Inside folder GoVirt_Bias is the topology file for<br>the system with a GoMartini model applied between the<br>two strands.</p> <p><br>Inside folder Scaled_Water is the topology file for<br>the system with GoVirt water interaction scaling.</p> <p>6) The <strong>md_inputs_go_IDPs_PETER.tar.gz</strong> file has the following folders:</p> <p>Directories "a1", "hst5", and "pnt" contain the input files for proteins with Go potentials.&nbsp;And in the "controls" directory, input files for the same proteins, without Go potentials.</p> <p>To run the simulations, the user can run the following commands:</p> <p>gmx grompp -f md.mdp -p topol.top -c pre_md.gro -o md<br>gmx mdrun -s md.tpr -deffnm md</p> <p>Additionally, atomistic structures are available in .gro format - {protein}_atomistic.gro</p> <p>7) The <strong>repository_Hafez.zip&nbsp;</strong></p> <p>In the folders 1AOH, 1TIT, 1UBQ, 3W0K, AQP1, and Ist2, you will find the necessary files (ITP, MDP, and GRO) to repeat the simulations.</p> <p>In the Martini3FF folder, you can find the MARTINI3 force field files.</p> <p>8) The <strong>Hairpin-M3-15.tar.xz</strong> and <strong>Hairpin-M2.tar.xz</strong> and <strong>Hairpin-M2-15.tar.xz</strong>&nbsp;</p> <p>contains the information mdp, itp and trajectories generated for the study of folding simulation with GoMartini implemented in 2017 and the latest implementation on top of the Martini 3 force field.</p> <p>The Hairpin-M2, Hairpin-M2-15, and Hairpin-M3-15 folders contain all the necessary files to reproduce the pulling simulations of PDB ID 1GB1 (a novel, highly stable fold of the immunoglobulin binding domain of streptococcal protein G) using the GōMartini 2 and GōMartini 3 methodologies, respectively.</p> <p>Each folder contains:</p> <p>A.pdb: All-atom PDB file of the unfolded structure.<br>B.pdb: All-atom PDB file of the folded structure.<br>A-CG.pdb: Martini coarse-grained representation of the unfolded structure.<br>B-CG.pdb: Martini coarse-grained representation of the folded structure.<br>A-GC.gro: GROMACS format file of the unfolded structure.<br>B-GC.gro: GROMACS format file of the folded structure.<br>system.top: Topology file.</p> <p><br>Force Fields and Topologies:<br>GōMartini 2:<br>martini_v2.2.itp: Martini 2 force field for proteins.<br>martiniv2.2_ions.itp: Martini 2 force field for ions.<br>Protein_A.itp: GōMartini 2 topology for the folded structure.<br>Protein_A_unfolded.itp: GōMartini 2 topology for the unfolded structure.</p> <p><br>GōMartini 3:<br>martini_v3.0.0.itp: Martini 3 force field for proteins.<br>martini_v3.0.0_ions_v1.itp: Martini 3 force field for ions.<br>martini_v3.0.0_solvents_v1.itp: Martini 3 force field for solvents.<br>go_martini.itp: GōMartini 3 topology for the folded structure.<br>go_martini_unfold.itp: GōMartini 3 topology for the unfolded structure.<br>go_molecule1.itp: Additional GōMartini 3 topology file.<br>A.map: Contact map for the unfolded structure.<br>B.map: Contact map for the folded structure.</p> <p>GROMACS Files for Equilibration and MD Runs:</p> <p>Equilibration:<br>minimization.mdp, minimization.gro: Files for energy minimization.<br>nvt.mdp, nvt.gro, nvt.xtc, nvt.tpr: Files for NVT equilibration.<br>npt.mdp, npt.gro, npt.xtc, npt.tpr, npt_dry.tpr: Files for NPT equilibration (dry simulations without waters or ions).</p> <p>Folding MD Runs:<br>dynamic.mdp: File for folding molecular dynamics runs.<br>Folding MD Runs (1-100):<br>MD/hairpin-M2_fit.xtc*: Trajectories (without waters or ions, &epsilon; = 9.414 kJ/mol).<br>MD/hairpin-M2-15_fit*.xtc*: Trajectories (without waters or ions, &epsilon; = 15.0 kJ/mol).</p> <p>&nbsp;</p> <p>MD/hairpin-CG-M3-_fit*.xtc: Trajectories (without waters or ions, &epsilon; = 15.0 kJ/mol).</p> <p>Data Analysis Scripts:<br>MD/Distances_native_WT.ipynb: Jupyter notebook for backbone distance analysis.<br>MD/all_native_graphs.ipynb: Jupyter notebook for native contact analysis.<br>MD/total_contacts_column.ipynb: Python script for contact statistics.</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Reference Spectra, Laboratory Mixture Spectra, list of NIMS cubes used in this study and the manual corrections to these NIMS cubes for better alignment.

<p>Reflectance spectra for the endmember library, including both the public data and data made in this study.&nbsp;<br><br>Reflectance spectra for the 100% SAO, 10% SAO, 25% SAO, 80% SAO, and 100% Water ice mixtures.<br><br>Text File of the PDS IDs of NIMS data cubes analyzed in this study.</p> <p>(X,Y) offsets applied to each data cube for better alignment between NIMS data and the Global Mosaic.</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Standard Model corrections to Fermi decays in NCSM

<p>Recent analysis of Fermi decays by C.Y. Seng and M. Gorshteyn and the corresponding $V_{ud}$ determination have revealed a degree of tension with Cabibbo-Kobayashi-Maskawa (CKM) matrix unitarity, confirmation of which would indicate several potential deficiencies within the Standard Model (SM) weak sector. Extraction of $V_{ud}$ requires electroweak radiative corrections (EWRC) from theory to be applied to experimentally obtained $ft$-values. Novel calculations of corrections sensitive to hadronic structure, i.e., the $\gamma W$-box, are at the heart of the recent tension. Moreover, to further improve on the extraction of $V_{ud}$, a modern and consistent treatment of the two nuclear structure dependent corrections is critical. These corrections are (i) $\delta_C$, the isospin symmetry breaking correction (ii) and $\delta_{NS}$, the EWRC representing evaluation of the $\gamma W$-box on a nucleus. Preliminary estimations of $\delta_{NS}$ have been made in the aforementioned analysis, however, the approach cannot include effects from low-lying nuclear states which require a true many-body treatment. Via collaboration with C.Y. Seng and M. Gorshteyn and use of the Lanczos subspace method, these corrections can be computed in ab initio nuclear theory for the first time. We apply the no-core shell model (NCSM), a nonrelativistic quantum many-body theory for describing low-lying bound states of $s$- and $p$-shell nuclei starting solely from nuclear interactions. We will present preliminary results for $\delta_{NS}$ and $\delta_{C}$ determined in the NCSM for the $^{10}\text{C} \rightarrow {}^{10}\text{B}$ beta transition, with the eventual goal of extending the calculations to $^{14}\text{O} \rightarrow {}^{14}\text{N}$ and $^{18}\text{Ne} \rightarrow {}^{18}\text{F}$.</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Code on Demand: A Comparative Analysis of the Efficiency, Understandability, and Self-Correction Capability of Copilot, ChatGPT, and Gemini - Data resulting from the study

<p>Este conjunto de dados foi gerado como parte do estudo "Code on Demand: A Comparative Analysis of the Efficiency, Understandability, and Self-Correction Capability of Copilot, ChatGPT, and Gemini - Data resulting from the study". O estudo focou na avalia&ccedil;&atilde;o do desempenho das ferramentas Copilot, ChatGPT e Gemini, utilizando problemas do LeetCode em quatro linguagens de programa&ccedil;&atilde;o: Python, Java, JavaScript e C.</p> <p>O conjunto de dados atualizado est&aacute; organizado nas seguintes pastas:</p> <ol> <li> <p><strong>c_programs</strong>: Esta pasta cont&eacute;m os scripts Python utilizados para calcular a complexidade ciclom&aacute;tica e a complexidade cognitiva do c&oacute;digo C gerado pelas ferramentas.</p> <ul> <li><code>calculate_cyclomatic_complexity.py</code>: Script para calcular a complexidade ciclom&aacute;tica.</li> <li><code>calculate_cognitive_complexity.py</code>: Script para calcular a complexidade cognitiva.</li> </ul> </li> <li> <p><strong>codes_suggested_by_the_tools</strong>: Esta pasta cont&eacute;m as sugest&otilde;es de c&oacute;digo geradas pelo Copilot, ChatGPT e Gemini para cada problema do LeetCode.</p> <ul> <li>Subpastas: <code>ChatGPT</code>, <code>Copilot</code>, <code>Gemini</code>, cada uma contendo as sugest&otilde;es de c&oacute;digo correspondentes nos formatos das linguagens.</li> </ul> </li> <li> <p><strong>complexity_of_codes</strong>: Esta pasta cont&eacute;m dois arquivos CSV que fornecem os resultados da an&aacute;lise de complexidade para o c&oacute;digo gerado.</p> <ul> <li><code>AI analysis results table - Cognitive.csv</code>: Resultados da complexidade cognitiva do c&oacute;digo gerado.</li> <li><code>AI analysis results table - Cyclomatic.csv</code>: Resultados da complexidade ciclom&aacute;tica do c&oacute;digo gerado.</li> </ul> </li> </ol> <p>Este conjunto de dados atualizado oferece insights valiosos sobre o desempenho das ferramentas de gera&ccedil;&atilde;o de c&oacute;digo com IA e pode ser utilizado para an&aacute;lises futuras ou estudos de replica&ccedil;&atilde;o.</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Appendix 1 in Hedwig-Schwägrichen types catalogue update (1): new typifications and typification corrections

<p><b>Appendix 1. &ndash;</b> Cont.</p><table><tbody><tr><th>Pterigynandrum Fulgens</th><th>G00040225</th><th>Fig. 302</th><th>Trichostomum cylindricum</th><th>G00040339</th><th>Fig. 328</th></tr></tbody><tbody><tr><th>Pterigynandrum gracile</th><td>G00040265</td><td>Fig. 303</td><td>Trichostomum Fasciculare</td><td>G00040273</td><td>Fig. 329</td></tr><tr><th>Pterigynandrum intricatum</th><td>G00040343</td><td>Fig. 304</td><td>Trichostomum Fontinaloides</td><td>G00040079</td><td>Fig. 330</td></tr><tr><th>Pterigynandrum julaceum</th><td>G00040185</td><td>Fig. 305</td><td>Trichostomum glaucescens</td><td>G00040292</td><td>Fig. 331</td></tr><tr><th>Pterigynandrum subcapillatum</th><td>G00040156</td><td>Fig. 306</td><td>Trichostomum heterostichum</td><td>G00040274</td><td>Fig. 332</td></tr><tr><th>Pterigynandrum trichomitrion</th><td>G00040142</td><td>Fig. 307</td><td>Trichostomum lanuginosum</td><td>G00040358</td><td>Fig. 333</td></tr><tr><th>Splachnum ampullaceum</th><td>G00040305</td><td>Fig. 308</td><td>Trichostomum microcarpon</td><td>G00040276</td><td>Fig. 334</td></tr><tr><th>Splachnum angustatum</th><td>G00040316</td><td>Fig. 309</td><td>Trichostomum pallidum</td><td>G00040114</td><td>Fig. 335</td></tr><tr><th>Splachnum brewerianum</th><td>G00040319</td><td>Fig. 310</td><td>Trichostomum tenue</td><td>G00040116</td><td>Fig. 336</td></tr><tr><th>Splachnum luteum</th><td>G00040306</td><td>Fig. 311</td><td>Webera longicolla</td><td>G00040252</td><td>Fig. 337</td></tr><tr><th>Splachnum mnioides</th><td>G00040318</td><td>Fig. 312</td><td>Webera nutans</td><td>G00040360</td><td>Fig. 338</td></tr><tr><th>Splachnum ovatum</th><td>G00040310</td><td>Fig. 313</td><td>Webera pyriFormis</td><td>G00040363</td><td>Fig. 339</td></tr><tr><th>Splachnum rubrum</th><td>G00040307</td><td>Fig. 314</td><td>Weissia acuta</td><td>G00040044</td><td>Fig. 340</td></tr><tr><th>Splachnum serratum</th><td>G00040313</td><td>Fig. 315</td><td>Weissia calcarea</td><td>G00040300</td><td>Fig. 341</td></tr><tr><th>Splachnum sphaericum</th><td>G00040308</td><td>Fig. 316</td><td>Weissia calycina</td><td>G00040006</td><td>Fig. 342</td></tr><tr><th>Splachnum sphaericum</th><td>G00040309</td><td>Fig. 317</td><td>Weissia cirrata</td><td>G00040104</td><td>Fig. 343</td></tr><tr><th>Splachnum urceolatum</th><td>G00040320</td><td>Fig. 318</td><td>Weissia cirrata</td><td>G00040105</td><td>Fig. 344</td></tr><tr><th>Splachnum vasculosum</th><td>G00040311</td><td>Fig. 319</td><td>Weissia crispula</td><td>G00040106</td><td>Fig. 345</td></tr><tr><th>Tetraphis pellucida</th><td>G00040314</td><td>Fig. 320</td><td>Weissia Fugax</td><td>G00040278</td><td>Fig. 346</td></tr><tr><th>Tetraphis pellucida</th><td>G00040315</td><td>Fig. 321</td><td>Weissia micro-odonta</td><td>G00040340</td><td>Fig. 347</td></tr><tr><th>Timmia austriaca</th><td>G00040327</td><td>Fig. 322</td><td>Weissia nigrita</td><td>G00040074</td><td>Fig. 348</td></tr><tr><th>Timmia megapolitana</th><td>G00040329</td><td>Fig. 323</td><td>Weissia pusilla</td><td>G00040301</td><td>Fig. 349</td></tr><tr><th>Tortula muralis</th><td>G00040333</td><td>Fig. 324</td><td>Weissia recurvirostris</td><td>G00040058</td><td>Fig. 350</td></tr><tr><th>Tortula subulata</th><td>G00040335</td><td>Fig. 325</td><td>Weissia rupestris</td><td>G00040045</td><td>Fig. 351</td></tr><tr><th>Tortula tortuosa</th><td>G00040331</td><td>Fig. 326</td><td>Weissia starkeana</td><td>G00040259</td><td>Fig. 352</td></tr><tr><th>Trichostomum canescens</th><td>G00040272</td><td>Fig. 327</td><td></td><td></td><td></td></tr></tbody></table>

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Appendix 1. – The G in Hedwig-Schwägrichen types catalogue update (1): new typifications and typification corrections

<p><b>Appendix 1. &ndash;</b> The G barcodes for the Hedwig type specimens in G that are presented in the &ldquo;Catalogue of the Hedwig-Schw&auml;grichen Herbarium (Part 1)&rdquo; (PRICE, 2005). The records are listed alphabetically by basionym with the corresponding G barcode and figure number from PRICE (2005).</p><table><tbody><tr><th>Andreaea alpina</th><th>G00040015</th><th>Fig. 4</th><th>Dicranum Falcatum</th><th>G 00040173</th><th>Fig. 54</th></tr></tbody><tbody><tr><th>Andreaea rupestris</th><td>G00040016</td><td>Fig. 5</td><td>Dicranum Flagellare</td><td>G 00040208</td><td>Fig. 55</td></tr><tr><th>Anictangium aquaticum</th><td>G00040078</td><td>Fig. 6</td><td>Dicranum Flexuosum</td><td>G00040073</td><td>Fig. 56</td></tr><tr><th>Anictangium ciliatum</th><td>G00040149</td><td>Fig. 7</td><td>Dicranum glaucum</td><td>G00040184</td><td>Fig. 57</td></tr><tr><th>Anictangium cirrosum</th><td>G00040187</td><td>Fig. 8</td><td>Dicranum heteromallum</td><td>G00040099</td><td>Fig. 58</td></tr><tr><th>Anictangium lapponicum</th><td>G00040003</td><td>Fig. 9</td><td>Dicranum intermedium</td><td>G00040076</td><td>Fig. 59</td></tr><tr><th>Anictangium setosum</th><td>G00040093</td><td>Fig. 10</td><td>Dicranum interruptum</td><td>G00040100</td><td>Fig. 60</td></tr><tr><th>Arrhenopterum heterostichum</th><td>G00040031</td><td>Fig. 11</td><td>Dicranum introFlexum</td><td>G00040356</td><td>Fig. 61</td></tr><tr><th>Barbula acuminata</th><td>G00040033</td><td>Fig. 12</td><td>Dicranum latiFolium</td><td>G00040357</td><td>Fig. 62</td></tr><tr><th>Barbula agraria</th><td>G00040034</td><td>Fig. 13</td><td>Dicranum longiFolium</td><td>G00040217</td><td>Fig. 63</td></tr><tr><th>Barbula apiculata</th><td>G00040040</td><td>Fig. 14</td><td>Dicranum montanum</td><td>G00040209</td><td>Fig. 64</td></tr><tr><th>Barbula convoluta</th><td>G00040035</td><td>Fig. 15</td><td>Dicranum orthocarpum</td><td>G00040101</td><td>Fig. 65</td></tr><tr><th>Barbula convoluta</th><td>G00040036</td><td>Fig. 16</td><td>Dicranum ovale</td><td>G00040349</td><td>Fig. 66</td></tr><tr><th>Barbula convoluta</th><td>G00040037</td><td>Fig. 17</td><td>Dicranum pellucidum</td><td>G00040095</td><td>Fig. 67</td></tr><tr><th>Barbula curta</th><td>G00040117</td><td>Fig. 18</td><td>Dicranum pellucidum</td><td>G00040096</td><td>Fig. 68</td></tr><tr><th>Barbula Fallax</th><td>G00040367</td><td>Fig. 19</td><td>Dicranum pellucidum</td><td>G00040368</td><td>Fig. 69</td></tr><tr><th>Barbula humilis</th><td>G00040332</td><td>Fig. 20</td><td>Dicranum purpurascens</td><td>G00040077</td><td>Fig. 70</td></tr><tr><th>Barbula lanceolata</th><td>G00040041</td><td>Fig. 21</td><td>Dicranum purpureum</td><td>G00040075</td><td>Fig. 71</td></tr><tr><th>Barbula rigida</th><td>G00040008</td><td>Fig. 22</td><td>Dicranum pusillum</td><td>G00040098</td><td>Fig. 72</td></tr><tr><th>Barbula rigida</th><td>G00040009</td><td>Fig. 23</td><td>Dicranum schreberianum</td><td>G00040018</td><td>Fig. 73</td></tr><tr><th>Barbula ruralis</th><td>G00040334</td><td>Fig. 24</td><td>Dicranum scoparium</td><td>G00040107</td><td>Fig. 74</td></tr><tr><th>Barbula stricta</th><td>G00040038</td><td>Fig. 25</td><td>Dicranum spurium</td><td>G00040108</td><td>Fig. 75</td></tr><tr><th>Barbula unguiculata</th><td>G00040039</td><td>Fig. 26</td><td>Dicranum subulatum</td><td>G00040102</td><td>Fig. 76</td></tr><tr><th>Bartramia halleriana</th><td>G00040042</td><td>Fig. 27</td><td>Dicranum varium</td><td>G00040364</td><td>Fig. 77</td></tr><tr><th>Bartramia pomiFormis</th><td>G00040043</td><td>Fig. 28</td><td>Dicranum xanthodon</td><td>G00040341</td><td>Fig. 78</td></tr><tr><th>Bryum androgynum</th><td>G00040030</td><td>Fig. 29</td><td>Didymodon homomallum</td><td>G00040113</td><td>Fig. 79</td></tr><tr><th>Bryum argenteum</th><td>G00040059</td><td>Fig. 30</td><td>Didymodon pusillum</td><td>G00040115</td><td>Fig. 80</td></tr><tr><th>Bryum argenteum</th><td>G00040370</td><td>Fig. 31</td><td>Didymodon rigidulum</td><td>G00040006</td><td>Fig. 81</td></tr><tr><th>Bryum caespiticium</th><td>G00040060</td><td>Fig. 32</td><td>Encalypta ciliata</td><td>G00040120</td><td>Fig. 82</td></tr><tr><th>Bryum capillare</th><td>G00040061</td><td>Fig. 33</td><td>Encalypta lanceolata</td><td>G00040258</td><td>Fig. 83</td></tr><tr><th>Bryum delicatulum</th><td>G00040253</td><td>Fig. 34</td><td>Fissidens adianthoides</td><td>G00040130</td><td>Fig. 84</td></tr><tr><th>Bryum dichotomum</th><td>G00040365</td><td>Fig. 35</td><td>Fissidens asplenioides</td><td>G00040131</td><td>Fig. 85</td></tr><tr><th>Bryum macrocarpum</th><td>G00040179</td><td>Fig. 36</td><td>Fissidens bryoides</td><td>G00040133</td><td>Fig. 86</td></tr><tr><th>Bryum pulchellum</th><td>G00040260</td><td>Fig. 37</td><td>Fissidens osmundioides</td><td>G00040134</td><td>Fig. 87</td></tr><tr><th>Bryum squarrosum</th><td>G00040216</td><td>Fig. 38</td><td>Fissidens palmatus</td><td>G00040135</td><td>Fig. 88</td></tr><tr><th>Bryum zierii</th><td>G00040234</td><td>Fig. 39</td><td>Fissidens polycarpos</td><td>G00040091</td><td>Fig. 89</td></tr><tr><th>Buxbaumia aphylla</th><td>G00040065</td><td>Fig. 40</td><td>Fissidens polypodioides</td><td>G00040136</td><td>Fig. 90</td></tr><tr><th>Buxbaumia Foliosa</th><td>G00040110</td><td>Fig. 41</td><td>Fissidens pulvinatus</td><td>G00040350</td><td>Fig. 91</td></tr><tr><th>Cynontodium capillaceum</th><td>G00040111</td><td>Fig. 42</td><td>Fissidens pulvinatus var. aFricanus</td><td>G00040351</td><td>Fig. 92</td></tr><tr><th>Cynontodium cernuum</th><td>G00040064</td><td>Fig. 43</td><td>Fissidens sciuroides</td><td>G00040186</td><td>Fig. 93</td></tr><tr><th>Cynontodium inclinatum</th><td>G00040112</td><td>Fig. 44</td><td>Fissidens semicompletus</td><td>G00040137</td><td>Fig. 94</td></tr><tr><th>Cynontodium triFarium</th><td>G00040293</td><td>Fig. 45</td><td>Fissidens strumiFer</td><td>G00040092</td><td>Fig. 95</td></tr><tr><th>Dicranum aciculare</th><td>G00040271</td><td>Fig. 46</td><td>Fissidens subbasilaris</td><td>G00040139</td><td>Fig. 96</td></tr><tr><th>Dicranum ambiguum</th><td>G00040337</td><td>Fig. 47</td><td>Fissidens taxiFolius</td><td>G00040138</td><td>Fig. 97</td></tr><tr><th>Dicranum celsii</th><td>G00040346</td><td>Fig. 48</td><td>Fontinalis antipyretica</td><td>G00040140</td><td>Fig. 98</td></tr><tr><th>Dicranum cerviculatum</th><td>G00040097</td><td>Fig. 49</td><td>Fontinalis Falcata</td><td>G00040094</td><td>Fig. 99</td></tr><tr><th>Dicranum condensatum</th><td>G00040109</td><td>Fig. 50</td><td>Fontinalis squamosa</td><td>G00040141</td><td>Fig. 100</td></tr><tr><th>Dicranum crispum</th><td>G00040017</td><td>Fig. 51</td><td>Funaria hygrometrica</td><td>G00040143</td><td>Fig. 101</td></tr><tr><th>Dicranum curvatum</th><td>G00040103</td><td>Fig. 52</td><td>Funaria hygrometrica</td><td>G00040144</td><td>Fig. 102</td></tr><tr><th>Dicranum cygneum</th><td>G00040072</td><td>Fig. 53</td><td>Grimmia alpicola</td><td>G00040295</td><td>Fig. 103</td></tr></tbody></table>

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Appendix 1 in Hedwig-Schwägrichen types catalogue update (1): new typifications and typification corrections

<p><b>Appendix 1. &ndash;</b> Cont.</p><table><tbody><tr><th>Leskea Fasciculosa</th><th>G00040129</th><th>Fig. 203</th><th>Neckera curtipendula</th><th>G00040025</th><th>Fig. 252</th></tr></tbody><tbody><tr><th>Leskea FiliculaeFormis</th><td>G00040170</td><td>Fig. 204</td><td>Neckera disticha</td><td>G00040204</td><td>Fig. 253</td></tr><tr><th>Leskea Flexilis</th><td>G00040229</td><td>Fig. 205</td><td>Neckera Filicina</td><td>G00040233</td><td>Fig. 254</td></tr><tr><th>Leskea glabella</th><td>G00040154</td><td>Fig. 206</td><td>Neckera FiliFormis</td><td>G00040087</td><td>Fig. 255</td></tr><tr><th>Leskea imbricatula</th><td>G00040048</td><td>Fig. 207</td><td>Neckera heteromalla</td><td>G00040088</td><td>Fig. 256</td></tr><tr><th>Leskea incurvata</th><td>G00040262</td><td>Fig. 208</td><td>Neckera hypnoides</td><td>G00040228</td><td>Fig. 257</td></tr><tr><th>Leskea involvens</th><td>G00040323</td><td>Fig. 209</td><td>Neckera macropoda</td><td>G00040123</td><td>Fig. 258</td></tr><tr><th>Leskea mollis</th><td>G00040342</td><td>Fig. 210</td><td>Neckera pennata</td><td>G00040202</td><td>Fig. 259</td></tr><tr><th>Leskea obscura</th><td>G00040181</td><td>Fig. 211</td><td>Neckera planiFolia</td><td>G00040336</td><td>Fig. 260</td></tr><tr><th>Leskea pallescens</th><td>G00040168</td><td>Fig. 212</td><td>Neckera pumila</td><td>G00040203</td><td>Fig. 261</td></tr><tr><th>Leskea paludosa</th><td>G00040183</td><td>Fig. 213</td><td>Neckera seductrix</td><td>G00040124</td><td>Fig. 262</td></tr><tr><th>Leskea polyantha</th><td>G00040269</td><td>Fig. 214</td><td>Neckera undulata</td><td>G00040205</td><td>Fig. 263</td></tr><tr><th>Leskea polycarpa</th><td>G00040182</td><td>Fig. 215</td><td>Neckera viticulosa</td><td>G00040024</td><td>Fig. 264</td></tr><tr><th>Leskea pulchella</th><td>G00040171</td><td>Fig. 216</td><td>Neckera viticulosa var minor</td><td>G00040021</td><td>Fig. 265</td></tr><tr><th>Leskea rostrata</th><td>G00040023</td><td>Fig. 217</td><td>Octoblepharum albidum</td><td>G00040206</td><td>Fig. 266</td></tr><tr><th>Leskea rupincola</th><td>G00040049</td><td>Fig. 218</td><td>Orthotrichum anomalum</td><td>G00040211</td><td>Fig. 267</td></tr><tr><th>Leskea sericea</th><td>G00040158</td><td>Fig. 219</td><td>Orthotrichum crispum</td><td>G00040001</td><td>Fig. 268</td></tr><tr><th>Leskea setosa</th><td>G00040050</td><td>Fig. 220</td><td>Orthotrichum striatum</td><td>G00040212</td><td>Fig. 269</td></tr><tr><th>Leskea subtilis</th><td>G00040010</td><td>Fig. 221</td><td>Phascum alterniFolium</td><td>G00040026</td><td>Fig. 270</td></tr><tr><th>Leskea tamariscina</th><td>G00040380</td><td>Fig. 222</td><td>Phascum cohaerens</td><td>G00040125</td><td>Fig. 271</td></tr><tr><th>Leskea tamariscina</th><td>G00046276</td><td>Fig. 354</td><td>Phascum crispum</td><td>G00040027</td><td>Fig. 272</td></tr><tr><th>Leskea trichomanoides</th><td>G00040155</td><td>Fig. 223</td><td>Phascum curvicollum</td><td>G00040218</td><td>Fig. 273</td></tr><tr><th>Leskea undata</th><td>G00040161</td><td>Fig. 224</td><td>Phascum cuspidatum</td><td>G00040219</td><td>Fig. 274</td></tr><tr><th>Leskea varia</th><td>G00040014</td><td>Fig. 225</td><td>Phascum muticum</td><td>G00040353</td><td>Fig. 275</td></tr><tr><th>Meesia dealbata</th><td>G00040344</td><td>Fig. 226</td><td>Phascum nitidum</td><td>G00040261</td><td>Fig. 276</td></tr><tr><th>Meesia dealbata</th><td>G00040345</td><td>Fig. 227</td><td>Phascum patens</td><td>G00040226</td><td>Fig. 277</td></tr><tr><th>Meesia longiseta</th><td>G00040188</td><td>Fig. 228</td><td>Phascum piliFerum</td><td>G00040220</td><td>Fig. 278</td></tr><tr><th>Meesia longiseta</th><td>G00040189</td><td>Fig. 229</td><td>Phascum serratum</td><td>G00040126</td><td>Fig. 279</td></tr><tr><th>Meesia longiseta</th><td>G00040190</td><td>Fig. 230</td><td>Phascum subulatum</td><td>G00040243</td><td>Fig. 280</td></tr><tr><th>Meesia uliginosa</th><td>G00040192</td><td>Fig. 231</td><td>Pohlia elongata</td><td>G00040251</td><td>Fig. 281</td></tr><tr><th>Meesia uliginosa</th><td>G00040193</td><td>Fig. 232</td><td>Polytrichum aloides</td><td>G00040244</td><td>Fig. 282</td></tr><tr><th>Mnium chrysocomum</th><td>G00040056</td><td>Fig. 233</td><td>Polytrichum alpinum</td><td>G00040254</td><td>Fig. 283</td></tr><tr><th>Mnium crudum</th><td>G00040361</td><td>Fig. 234</td><td>Polytrichum commune</td><td>G00040355</td><td>Fig. 284</td></tr><tr><th>Mnium cuspidatum</th><td>G00040235</td><td>Fig. 235</td><td>Polytrichum convolutum</td><td>G00040245</td><td>Fig. 285</td></tr><tr><th>Mnium Fontanum</th><td>G00040221</td><td>Fig. 236</td><td>Polytrichum dendroides</td><td>G00040371</td><td>Fig. 286</td></tr><tr><th>Mnium Fontanum</th><td>G00040222</td><td>Fig. 237</td><td>Polytrichum dendroides</td><td>G00040372</td><td>Fig. 287</td></tr><tr><th>Mnium hornum</th><td>G00040197</td><td>Fig. 238</td><td>Polytrichum Formosum</td><td>G00040374</td><td>Fig. 288</td></tr><tr><th>Mnium marchicum</th><td>G00040223</td><td>Fig. 239</td><td>Polytrichum Formosum</td><td>G00040375</td><td>Fig. 289</td></tr><tr><th>Mnium palustre</th><td>G00040032</td><td>Fig. 240</td><td>Polytrichum hercynicum</td><td>G00040207</td><td>Fig. 290</td></tr><tr><th>Mnium pseudotriquetrum</th><td>G00040366</td><td>Fig. 241</td><td>Polytrichum juniperinum</td><td>G00040256</td><td>Fig. 291</td></tr><tr><th>Mnium punctatum</th><td>G00040281</td><td>Fig. 242</td><td>Polytrichum magellanicum</td><td>G00040283</td><td>Fig. 292</td></tr><tr><th>Mnium roseum</th><td>G00040283</td><td>Fig. 243</td><td>Polytrichum magellanicum</td><td>G00040382</td><td>Fig. 293</td></tr><tr><th>Mnium sphaericarpon</th><td>G00040224</td><td>Fig. 244</td><td>Polytrichum nanum</td><td>G00040247</td><td>Fig. 294</td></tr><tr><th>Mnium stellare</th><td>G00040199</td><td>Fig. 245</td><td>Polytrichum norwegicum</td><td>G00048290</td><td>Fig. 295</td></tr><tr><th>Mnium tetragonum</th><td>G00040081</td><td>Fig. 246</td><td>Polytrichum pensilvanicum</td><td>G00040248</td><td>Fig. 296</td></tr><tr><th>Mnium turbinatum</th><td>G00040063</td><td>Fig. 247</td><td>Polytrichum piliFerum</td><td>G00040255</td><td>Fig. 297</td></tr><tr><th>Mnium undulatum</th><td>G00040237</td><td>Fig. 248</td><td>Polytrichum undulatum</td><td>G00040028</td><td>Fig. 298</td></tr><tr><th>Neckera cladorrhizans</th><td>G00040121</td><td>Fig. 249</td><td>Polytrichum undulatum var. minus</td><td>G00040029</td><td>Fig. 299</td></tr><tr><th>Neckera composita</th><td>G00040231</td><td>Fig. 250</td><td>Polytrichum urnigerum</td><td>G00040373</td><td>Fig. 300</td></tr><tr><th>Neckera crispa</th><td>G00040201</td><td>Fig. 251</td><td>Pterigynandrum FiliForme</td><td>G00040264</td><td>Fig. 301</td></tr></tbody></table>

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Appendix 1 in Hedwig-Schwägrichen types catalogue update (1): new typifications and typification corrections

<p><b>Appendix 1. &ndash;</b> Cont.</p><table><tbody><tr><th>Grimmia apocarpa</th><th>G00040296</th><th>Fig. 104</th><th>Hypnum myosuroides</th><th>G00040172</th><th>Fig. 154</th></tr></tbody><tbody><tr><th>Grimmia cribrosa</th><td>G00040083</td><td>Fig. 105</td><td>Hypnum nigrescens</td><td>G00040195</td><td>Fig. 155</td></tr><tr><th>Grimmia plagiopodia</th><td>G00040348</td><td>Fig. 106</td><td>Hypnum nitens</td><td>G00040330</td><td>Fig. 156</td></tr><tr><th>Grimmia recurvata</th><td>G00040302</td><td>Fig. 107</td><td>Hypnum patulum</td><td>G00040194</td><td>Fig. 157</td></tr><tr><th>Gymnostomum heimii</th><td>G00040352</td><td>Fig. 108</td><td>Hypnum piliFerum</td><td>G00040080</td><td>Fig. 158</td></tr><tr><th>Gymnostomum japonicum</th><td>G00040227</td><td>Fig. 109</td><td>Hypnum plumosum</td><td>G00048267</td><td>Fig. 159</td></tr><tr><th>Gymnostomum obtusum</th><td>G00040146</td><td>Fig. 110</td><td>Hypnum polymorphum</td><td>G00040070</td><td>Fig. 160</td></tr><tr><th>Gymnostomum ovatum</th><td>G00040267</td><td>Fig. 111</td><td>Hypnum polytrichoides</td><td>G00040176</td><td>Fig. 161</td></tr><tr><th>Gymnostomum pennatum</th><td>G00040297</td><td>Fig. 112</td><td>Hypnum populeum</td><td>G00040053</td><td>Fig. 162</td></tr><tr><th>Gymnostomum prorepens</th><td>G00040002</td><td>Fig. 113</td><td>Hypnum praecox</td><td>G00040128</td><td>Fig. 163</td></tr><tr><th>Gymnostomum recurvirostrum</th><td>G00040165</td><td>Fig. 114</td><td>Hypnum praelongum</td><td>G00040214</td><td>Fig. 164</td></tr><tr><th>Gymnostomum tenue</th><td>G00040146</td><td>Fig. 115</td><td>Hypnum pulchellum</td><td>G00040127</td><td>Fig. 165</td></tr><tr><th>Gymnostomum truncatum</th><td>G00048282</td><td>Fig. 116</td><td>Hypnum pungens</td><td>G00040007</td><td>Fig. 166</td></tr><tr><th>Hypnum abbreviatum</th><td>G00040286</td><td>Fig. 117</td><td>Hypnum purum</td><td>G00040263</td><td>Fig. 167</td></tr><tr><th>Hypnum abietinum</th><td>G00040005</td><td>Fig. 118</td><td>Hypnum recognitum</td><td>G00040325</td><td>Fig. 168</td></tr><tr><th>Hypnum adnatum</th><td>G00040159</td><td>Fig. 119</td><td>Hypnum reptans</td><td>G00040196</td><td>Fig. 169</td></tr><tr><th>Hypnum aduncum</th><td>G00040118</td><td>Fig. 120</td><td>Hypnum riparioides</td><td>G00040242</td><td>Fig. 170</td></tr><tr><th>Hypnum albicans</th><td>G00040051</td><td>Fig. 121</td><td>Hypnum riparium</td><td>G00040177</td><td>Fig. 171</td></tr><tr><th>Hypnum alopecurum</th><td>G00040321</td><td>Fig. 122</td><td>Hypnum rugosum</td><td>G00040291</td><td>Fig. 172</td></tr><tr><th>Hypnum amoenum</th><td>G00040279</td><td>Fig. 123</td><td>Hypnum rutabulum</td><td>G00040052</td><td>Fig. 173</td></tr><tr><th>Hypnum amoenum</th><td>G00040280</td><td>Fig. 124</td><td>Hypnum scorpioides</td><td>G00040299</td><td>Fig. 174</td></tr><tr><th>Hypnum clavellatum</th><td>G00040369</td><td>Fig. 125</td><td>Hypnum serpens</td><td>G00040011</td><td>Fig. 175</td></tr><tr><th>Hypnum commutatum</th><td>G00040085</td><td>Fig. 126</td><td>Hypnum serrulatum</td><td>G00040287</td><td>Fig. 176</td></tr><tr><th>Hypnum congestum</th><td>G00040215</td><td>Fig. 127</td><td>Hypnum spiniForme</td><td>G00040270</td><td>Fig. 177</td></tr><tr><th>Hypnum cordiFolium</th><td>G00040066</td><td>Fig. 128</td><td>Hypnum spinulosum</td><td>G00040012</td><td>Fig. 178</td></tr><tr><th>Hypnum crista-castrensis</th><td>G00040268</td><td>Fig. 129</td><td>Hypnum splendens</td><td>G00040163</td><td>Fig. 179</td></tr><tr><th>Hypnum cupressiForme</th><td>G00040166</td><td>Fig. 130</td><td>Hypnum squarrosum</td><td>G00040289</td><td>Fig. 180</td></tr><tr><th>Hypnum curviFolium</th><td>G00040167</td><td>Fig. 131</td><td>Hypnum stellatum</td><td>G00040071</td><td>Fig. 181</td></tr><tr><th>Hypnum cuspidatum</th><td>G00040068</td><td>Fig. 132</td><td>Hypnum striatum</td><td>G00040132</td><td>Fig. 182</td></tr><tr><th>Hypnum delicatulum</th><td>G00040322</td><td>Fig. 133</td><td>Hypnum subsimplex</td><td>G00040304</td><td>Fig. 183</td></tr><tr><th>Hypnum densum</th><td>G00040260</td><td>Fig. 134</td><td>Hypnum tamariscinum</td><td>G00040326</td><td>Fig. 184</td></tr><tr><th>Hypnum denticulatum</th><td>G00040240</td><td>Fig. 135</td><td>Hypnum tenax</td><td>G00040013</td><td>Fig. 185</td></tr><tr><th>Hypnum diaphanum</th><td>G00040175</td><td>Fig. 136</td><td>Hypnum tetragonum</td><td>G00040210</td><td>Fig. 186</td></tr><tr><th>Hypnum Fasciculatum</th><td>G00040257</td><td>Fig. 137</td><td>Hypnum tomentosum</td><td>G00040277</td><td>Fig. 187</td></tr><tr><th>Hypnum Filicinum</th><td>G00040086</td><td>Fig. 138</td><td>Hypnum torquatum</td><td>G00040298</td><td>Fig. 188</td></tr><tr><th>Hypnum Fluitans</th><td>G00040119</td><td>Fig. 139</td><td>Hypnum trichophyllum</td><td>G00040180</td><td>Fig. 189</td></tr><tr><th>Hypnum Fluviatile</th><td>G00040347</td><td>Fig. 140</td><td>Hypnum triquetrum</td><td>G00040290</td><td>Fig. 190</td></tr><tr><th>Hypnum halleri</th><td>G00040069</td><td>Fig. 141</td><td>Hypnum umbratum</td><td>G00040164</td><td>Fig. 191</td></tr><tr><th>Hypnum hians</th><td>G00040213</td><td>Fig. 142</td><td>Hypnum uncinatum</td><td>G00040294</td><td>Fig. 192</td></tr><tr><th>Hypnum illecebrum</th><td>G00040057</td><td>Fig. 143</td><td>Hypnum undulatum</td><td>G00040241</td><td>Fig. 193</td></tr><tr><th>Hypnum imponens</th><td>G00040168</td><td>Fig. 144</td><td>Hypnum velutinum</td><td>G00040054</td><td>Fig. 194</td></tr><tr><th>Hypnum intricatum</th><td>G00040055</td><td>Fig. 145</td><td>Leskea acuminata</td><td>G00040047</td><td>Fig. 195</td></tr><tr><th>Hypnum loreum</th><td>G00040288</td><td>Fig. 146</td><td>Leskea albicans</td><td>G00040090</td><td>Fig. 196</td></tr><tr><th>Hypnum lucens</th><td>G00040160</td><td>Fig. 147</td><td>Leskea attenuata</td><td>G00040019</td><td>Fig. 197</td></tr><tr><th>Hypnum luridum</th><td>G00040162</td><td>Fig. 148</td><td>Leskea caespitosa</td><td>G00040303</td><td>Fig. 198</td></tr><tr><th>Hypnum lutescens</th><td>G00040157</td><td>Fig. 149</td><td>Leskea capillaris</td><td>G00040151</td><td>Fig. 199</td></tr><tr><th>Hypnum microphyllum</th><td>G00040147</td><td>Fig. 150</td><td>Leskea complanata</td><td>G00040200</td><td>Fig. 200</td></tr><tr><th>Hypnum minutulum</th><td>G00040324</td><td>Fig. 151</td><td>Leskea compressa</td><td>G00040122</td><td>Fig. 201</td></tr><tr><th>Hypnum molluscum</th><td>G00040089</td><td>Fig. 152</td><td>Leskea cristata</td><td>G00116003</td><td>Fig. 202</td></tr><tr><th>Hypnum murale</th><td>G00040285</td><td>Fig. 153</td><td>Leskea depressa</td><td>G00043010</td><td>Fig. 353</td></tr></tbody></table>

opencc-by-4.0Nov 2014View details →
zenodo36/100

OSTEOPOROSIS IN PERIMENOPAUSAL WOMEN. WAYS OF DI-AGNOSIS, CORRECTION AND PREVENTION (LITERATURE REVIEW)

<p><span>Остеопороз,</span><span> как хроническое системное заболевание </span><span>опорно-двигательной системы, снижает прочность костной системы за счёт нарушения обмена веществ и микроархитектоники костей. Это в результате нередко приводит к патологическим переломам. В докладе </span><span>Международной Ассоциации остеопороза говорится, что ежегодно в мире переломы в результате остеопороза встречаются у 30-33% женщин в возрасте старше 50 лет </span></p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Code and Data for Sturm and Silva (2024) A nudge to the truth: atom conservation as a hard constraint in models of atmospheric composition using an uncertainty-weighted correction

<p>This record contains the Julia photochemical model (https://doi.org/10.5281/zenodo.13385541) output in csv format used for training XGBoost in ProjectionConservationRF.py to emulate ozone photochemical formation. Nonphysical predictions that violate conservation of atoms are corrected using a closed-form, constrained least-squares approach that factors in uncertainty and scale using species-level weights. The file ozoneNOx_visualization.py contains an example and visualization for a smaller system, the primary photolytic cycle from which the Leighton relationship can be derived.</p> <p>The corresponding preprint is available here: <a href="https://doi.org/10.48550/arXiv.2408.16109">https://doi.org/10.48550/arXiv.2408.16109</a></p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Neural data for North Sami compound correction

<p>Data for the paper:</p> <p>Wiechetek, L, Pirinen, F., H&auml;m&auml;l&auml;inen, M. &amp; Argese, C. (2021) <a href="https://www.researchgate.net/publication/354254222_Rules_Ruling_Neural_Networks_-_Neural_vs_Rule-Based_Grammar_Checking_for_a_Low_Resource_Language">Rules ruling neural networks &ndash; Neural vs. rule-based grammar checking for a low resource language</a>. In&nbsp;<em>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021).</em></p> <p>&nbsp;</p> <p><em>Data.zip</em> includes the data (test, train, validation) in a JSON format&nbsp;and <em>code.zip</em> has the source code.</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

STonKGs Correct Multiclass Model

<p>The fine-tuned model trained on the multiclass formulation of correctness curations.</p> <p>&nbsp;</p>

opencc-zeroAug 2021View details →
zenodo36/100

STonKGs Correct Binary Model

<p>The fine-tuned model trained on the binary formulation of correctness curations.</p>

opencc-zeroAug 2021View details →
zenodo36/100

FIG. 5. — x Aloe anosyana J.-P in Révision du groupe de l'Aloe divaricata Berger; correction d'une synonymie, combinaisons nouvelles et description d'un nouvel hybride

FIG. 5. — x Aloe anosyana J.-P. Castillon, hybr. nov.

opencc-by-4.0Jun 2012View details →
zenodo36/100

Tracking Data II/II of the publication "A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction"

<p>DATA belonging to the paper<br> &quot;A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction&quot;<br> Katharina L&ouml;ffler, Tim Scherr, Ralf Mikut<br> doi: https://doi.org/10.1101/2021.03.16.435631</p> <p>-----------------------------</p> <p>To investigate the influence of different segmentation errors on the tracking performance we simulate errorneous segmentation data:<br> - under-segmentation (referred to as &quot;merge&quot; in the folders), over-segmentation(&quot;split&quot;), False Negatives (&quot;remove&quot;), combination of the aforementioned errors (&quot;mixed&quot;)<br> - percentages: 1,2,5,10,20 of errorneous masks per dataset<br> - runs: 5 randomly initialized runs per combination<br> - datasets: Fluo-N2DH-SIM+ and Fluo-N3DH-SIM+ each with two image sequences<br> ---&gt; in total 4 (error types) * 5 (percentage) * 5 (runs) * 2 (data sets) * 2 (image sequences) = 400 datasets</p> <p>The datasets can be recreated by running our code https://git.scc.kit.edu/KIT-Sch-GE/2021-cell-tracking<br> ----------------------------</p> <p>RESULTS<br> We evuated the four tracking algorithms KIT-Sch-GE(1), KTH-SE, MU-Lux-CZ and our proposed algorithm on the aforementioned datasets and compare their performance using the CTC metrics DET, SEG and TRA.<br> This repository contains all metrics as xls files and all tracking results as image sequences.</p> <p><strong>PLEASE NOTE: this repository contains only the folder compare_postprocessing_synth_bm </strong></p> <p><strong>All other datasets and files are provided in 10.5281/zenodo.5227595 due to size restrictions.</strong></p> <p><br> <strong>xls files</strong><br> -----------<br> compare_all_trackers_on_synt_bm.csv<br> Comparing the tracking algorithms MU-Lux-CZ, KTH-SE, KIT-Sch-GE(1) and the proposed tracking algorithm on synthetically degraded segmentation data Fluo-N2DH-SIM+ and Fluo-N3DH-SIM+ (Cell Tracking Challenge datasets).<br> Reported scores are DET, SEG and TRA from the Cell Tracking Challenge<br> (Fig8 and Fig9 and Supplementary Figures 3 and 4 are created from this data)</p> <p><br> compare_postprocessing_on_synth_bm.csv<br> Comparing the different post-processing strategies of the proposed tracking algorithm algorithm on synthetically degraded segmentation data Fluo-N2DH-SIM+ and Fluo-N3DH-SIM+ (Cell Tracking Challenge datasets).<br> Reported scores are DET, SEG and TRA from the Cell Tracking Challenge<br> (Fig7 and Fig8 and Supplementary Figures 1 and 2 are created from this data)</p> <p>&nbsp;</p> <p><strong>folders </strong>(decompressed approximately 90GB of data!)<br> -----------<br> tracking_data<br> &nbsp;&nbsp; &nbsp;compare_all_synth_bm<br> &nbsp;&nbsp; &nbsp;Contains all tracking results for each tracking algorithm on the synthetically degraded datasets ()</p> <p>&nbsp;&nbsp; &nbsp;compare_all_synth_bm_no_error<br> &nbsp;&nbsp; &nbsp;Contains the tracking results for each tracking algorithm provided with the perfect ground truth segmentation data</p> <p>&nbsp;&nbsp; &nbsp;compare_postprocessing_synth_bm [will be stored in 10.5281/zenodo.5227610 due to size restrictions]<br> &nbsp;&nbsp; &nbsp;Contains all tracking resuls for each postprocessing configuration of the proposed cell tracking algorithm<br> &nbsp;&nbsp; &nbsp;the leaf folders are names run_xPOSTPROCESSING where x is the run number and POSTPROCESSING the postprocessing key<br> &nbsp;&nbsp; &nbsp;Postprocessing keys: (&quot;no untangle&quot; or &quot;no masks&quot; is indicated by an overline in the paper)<br> &nbsp;&nbsp; &nbsp;all (&quot;untangle + masks&quot; in the paper)<br> &nbsp;&nbsp; &nbsp;nd (&quot;no untangle + masks&quot;)<br> &nbsp;&nbsp; &nbsp;nd_ns-l (&quot;no untangle + no masks&quot;)<br> &nbsp;&nbsp; &nbsp;ns-l (&quot;untangle + no masks&quot;)</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2021View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.