cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9729302
title: Data-Scripts-Sallares2019.zip

description: This zip file contains two folders with the <b>data </b>and <b>codes </b>necessary to reproduce the main results presented in:<br>Sallares, V., and Ranero, C.R., Upper plate rigidity determines depth-varying megathrust earthquake rupture behavior, submitted to Nature, 2019 <br><b>1) data:</b><br>-<i>WAS-profiles.txt</i>: Indicate number and approximate location of all digitized profile, type of margin, and name. Refernce list is in the accompanying paper<br>- <b>digitized data</b>: Folder containing digitized P-wave velocity (Vp) as a function of depth and batthymetry along the profiles indicated in WAS-profiles.txt<br>- <b>properties</b>: Folder containing interpolated values of depth, P-wave velocity, density, S-wave velocity (Vs), rigidity, M-modulus, Poisson ratio, rupture velocity and porosity, calculated from the digitized P-wave values in the <b>digitized data</b> folder. <b><br></b><b>2) codes:</b><br>- <i>script.01.sh</i>: Shellscript that reads the digitized Vp(z) and bathymetry values in the <b>digitized data</b> folder and generates the plots of Vp(z) (fig 2a in the manuscript)<br>- <i>fig01.ps</i>: Figure generated by <i>script.01.sh</i><i><br></i><i>- script.02.sh: </i>Shellscript to calculate Vs, density, rigidity (needed for figures 2 and 3 and for several extended data figures in the manuscript) and other physical properties not used in the manuscript along all profiles using files created by<i> script.01. </i>Results are shown in the <b>properties </b>folder.<i><br></i><i>- script.03.sh: </i>Script to calculate average Vp, Vs, rigidity of all profiles as a function of depth, and their standard deviation. Input data are files created by <i>script.02</i><br>- <i>script.04.sh</i>: Script to generate the Vp(z) and rigidity(z) profiles shown in fig. 2c and fig 2d of the mansucript. Input data are the average values generated by <i>script.03</i><i><br></i><i>- fig04.ps: </i> Figure generated by <i>script.04.sh</i><br>- <i>script.05.sh</i>: Script to generate the slip ratio(z), rupture duration(z), corner frequency ratio (z) and MW-MS(z) profiles shown in fig. 3 of the manuscript. Input data are generated by <i>script.03</i><br>- fig05.ps: Figure generated by <i>script.05.sh</i><br>
DOI: 10.6084/m9.figshare.9729302.v1
title: Data-Scripts-Sallares2019.zip

description: This zip file contains two folders with the <b>data </b>and <b>codes </b>necessary to reproduce the main results presented in:<br>Sallares, V., and Ranero, C.R., Upper plate rigidity determines depth-varying megathrust earthquake rupture behavior, submitted to Nature, 2019 <br><b>1) data:</b><br>-<i>WAS-profiles.txt</i>: Indicate number and approximate location of all digitized profile, type of margin, and name. Refernce list is in the accompanying paper<br>- <b>digitized data</b>: Folder containing digitized P-wave velocity (Vp) as a function of depth and batthymetry along the profiles indicated in WAS-profiles.txt<br>- <b>properties</b>: Folder containing interpolated values of depth, P-wave velocity, density, S-wave velocity (Vs), rigidity, M-modulus, Poisson ratio, rupture velocity and porosity, calculated from the digitized P-wave values in the <b>digitized data</b> folder. <b><br></b><b>2) codes:</b><br>- <i>script.01.sh</i>: Shellscript that reads the digitized Vp(z) and bathymetry values in the <b>digitized data</b> folder and generates the plots of Vp(z) (fig 2a in the manuscript)<br>- <i>fig01.ps</i>: Figure generated by <i>script.01.sh</i><i><br></i><i>- script.02.sh: </i>Shellscript to calculate Vs, density, rigidity (needed for figures 2 and 3 and for several extended data figures in the manuscript) and other physical properties not used in the manuscript along all profiles using files created by<i> script.01. </i>Results are shown in the <b>properties </b>folder.<i><br></i><i>- script.03.sh: </i>Script to calculate average Vp, Vs, rigidity of all profiles as a function of depth, and their standard deviation. Input data are files created by <i>script.02</i><br>- <i>script.04.sh</i>: Script to generate the Vp(z) and rigidity(z) profiles shown in fig. 2c and fig 2d of the mansucript. Input data are the average values generated by <i>script.03</i><i><br></i><i>- fig04.ps: </i> Figure generated by <i>script.04.sh</i><br>- <i>script.05.sh</i>: Script to generate the slip ratio(z), rupture duration(z), corner frequency ratio (z) and MW-MS(z) profiles shown in fig. 3 of the manuscript. Input data are generated by <i>script.03</i><br>- fig05.ps: Figure generated by <i>script.05.sh</i><br>
DOI: 10.6084/m9.figshare.9729275
title: Dataset for manuscript entitled "Different aspects of impulsivity in chronic alcohol use disorder with and without comorbid problem gambling".

description: Dataset<br>
DOI: 10.6084/m9.figshare.9729251
title: Simulation data and results

description: HEC_RAS files and DTM used for the simulations. Result maps.
DOI: 10.6084/m9.figshare.9729236
title: LTC-Dataset

description: Dataset
DOI: 10.6084/m9.figshare.9729275.v1
title: Dataset for manuscript entitled "Different aspects of impulsivity in chronic alcohol use disorder with and without comorbid problem gambling".

description: Dataset<br>
DOI: 10.6084/m9.figshare.9729098
title: Untitled Item

description: data
DOI: 10.6084/m9.figshare.9729098.v1
title: Untitled Item

description: data
DOI: 10.6084/m9.figshare.9729251.v1
title: Simulation data

description: HEC_RAS files and DTM used for the simulations.
DOI: 10.6084/m9.figshare.9729251.v3
title: Simulation data and results

description: HEC_RAS files and DTM used for the simulations. Result maps.
DOI: 10.6084/m9.figshare.9729251.v2
title: Simulation data

description: HEC_RAS files and DTM used for the simulations.
DOI: 10.6084/m9.figshare.9728948
title: Additional file 1: of Statistical predictions with glmnet

description: Walk-through for glmnet predictions. (R 1 kb)
DOI: 10.6084/m9.figshare.9728948.v1
title: Additional file 1: of Statistical predictions with glmnet

description: Walk-through for glmnet predictions. (R 1 kb)
DOI: 10.6084/m9.figshare.9728891
title: Additional file 5: of Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes

description: An excel file containing miRNAs co-expressed in R7 and R8 miRNA-modules and their predicted target. (XLSX 177 kb)
DOI: 10.6084/m9.figshare.9728882
title: Additional file 4: of Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes

description: An excel file containing differentially express transcripts among different age groups and their functions. (XLSX 102 kb)
DOI: 10.6084/m9.figshare.9728891.v1
title: Additional file 5: of Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes

description: An excel file containing miRNAs co-expressed in R7 and R8 miRNA-modules and their predicted target. (XLSX 177 kb)
DOI: 10.6084/m9.figshare.9728876
title: Additional file 3: of Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes

description: An excel file containing commonly expressed transcripts of the rumen tissue and top 3000 functions identified from the rumen tissue transcriptome. (XLSX 412 kb)
DOI: 10.6084/m9.figshare.9728882.v1
title: Additional file 4: of Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes

description: An excel file containing differentially express transcripts among different age groups and their functions. (XLSX 102 kb)
DOI: 10.6084/m9.figshare.9728876.v1
title: Additional file 3: of Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes

description: An excel file containing commonly expressed transcripts of the rumen tissue and top 3000 functions identified from the rumen tissue transcriptome. (XLSX 412 kb)
DOI: 10.6084/m9.figshare.9728861
title: Additional file 1: of Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes

description: An excel file containing the relative abundance of rumen bacterial community and differentially abundant microbial functions. (XLSX 27 kb)
DOI: 10.6084/m9.figshare.9728861.v1
title: Additional file 1: of Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes

description: An excel file containing the relative abundance of rumen bacterial community and differentially abundant microbial functions. (XLSX 27 kb)
DOI: 10.6084/m9.figshare.9728774
title: MOESM8 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 8. BM1 vs C_all (DEGs fold1_sig).
DOI: 10.6084/m9.figshare.9728777
title: MOESM9 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 9. EVM1_EVM2 vs BM1 (DEGs fold1_sig).
DOI: 10.6084/m9.figshare.9728768
title: MOESM6 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 6. BM1 vs C (DEGs fold1_sig).
DOI: 10.6084/m9.figshare.9728771
title: MOESM7 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 7. BM1 vs C_all (GO terms).
DOI: 10.6084/m9.figshare.9728777.v1
title: MOESM9 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 9. EVM1_EVM2 vs BM1 (DEGs fold1_sig).
DOI: 10.6084/m9.figshare.9728774.v1
title: MOESM8 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 8. BM1 vs C_all (DEGs fold1_sig).
DOI: 10.6084/m9.figshare.9728762
title: MOESM5 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 5. BM1 vs C (GO terms).
DOI: 10.6084/m9.figshare.9728762.v1
title: MOESM5 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 5. BM1 vs C (GO terms).
DOI: 10.6084/m9.figshare.9728768.v1
title: MOESM6 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 6. BM1 vs C (DEGs fold1_sig).
DOI: 10.6084/m9.figshare.9728771.v1
title: MOESM7 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 7. BM1 vs C_all (GO terms).
DOI: 10.6084/m9.figshare.9728753
title: MOESM3 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 3. EVM1 vs C (GO terms).
DOI: 10.6084/m9.figshare.9728753.v1
title: MOESM3 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 3. EVM1 vs C (GO terms).
DOI: 10.6084/m9.figshare.9728741
title: MOESM1 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 1. Rheuma samples diagnosis.
DOI: 10.6084/m9.figshare.9728747
title: MOESM2 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 2. EVM1 vs C (DEGs fold1_sig).
DOI: 10.6084/m9.figshare.9728735
title: MOESM15 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 15. Classifier genes EVM specific genes.
DOI: 10.6084/m9.figshare.9728735.v1
title: MOESM15 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 15. Classifier genes EVM specific genes.
DOI: 10.6084/m9.figshare.9728741.v1
title: MOESM1 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 1. Rheuma samples diagnosis.
DOI: 10.6084/m9.figshare.9728729
title: MOESM2 of GPS-based slip models of one Mw 7.2 and twenty moderate earthquakes along the Sumatran plate boundary

description: Additional file 2. ASCII file that contains the detailed surface projection and slip information of the preferred slip model for each event in the catalog.
DOI: 10.6084/m9.figshare.9728747.v1
title: MOESM2 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 2. EVM1 vs C (DEGs fold1_sig).
DOI: 10.6084/m9.figshare.9728729.v1
title: MOESM2 of GPS-based slip models of one Mw 7.2 and twenty moderate earthquakes along the Sumatran plate boundary

description: Additional file 2. ASCII file that contains the detailed surface projection and slip information of the preferred slip model for each event in the catalog.
DOI: 10.6084/m9.figshare.9728726
title: MOESM13 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 13. Classifier genes EVM vs BM1 (56 and 37 genes).
DOI: 10.6084/m9.figshare.9728726.v1
title: MOESM13 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 13. Classifier genes EVM vs BM1 (56 and 37 genes).
DOI: 10.6084/m9.figshare.9728714
title: MOESM11 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 11. EVM1_EVM2 vs BM1_BM2 (GO terms).
DOI: 10.6084/m9.figshare.9728708
title: MOESM10 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 10. EVM1_EVM2 vs BM1 (GO terms).
DOI: 10.6084/m9.figshare.9728708.v1
title: MOESM10 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 10. EVM1_EVM2 vs BM1 (GO terms).
DOI: 10.6084/m9.figshare.9728714.v1
title: MOESM11 of Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture?

description: Additional file 11. EVM1_EVM2 vs BM1_BM2 (GO terms).
DOI: 10.6084/m9.figshare.9728501
title: Additional file 5: of Replicated methylation changes associated with eczema herpeticum and allergic response

description: Table S9. Gene ontology (GO) analysis results for ADEH+ vs healthy controls. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.9728489
title: Additional file 4: of Replicated methylation changes associated with eczema herpeticum and allergic response

description: Tables S5â S8. DMPs significant from severity analysis to follow up on results in Additional file 3: Table S4. (XLSX 120 kb)
DOI: 10.6084/m9.figshare.9728501.v1
title: Additional file 5: of Replicated methylation changes associated with eczema herpeticum and allergic response

description: Table S9. Gene ontology (GO) analysis results for ADEH+ vs healthy controls. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.9728480
title: Additional file 3: of Replicated methylation changes associated with eczema herpeticum and allergic response

description: Table S4. DMPs significant from ADEHâ vs controls and/or ADEH+ vs controls analysis at an FDR threshold of 0.05 from model adjusting for six cell types. (XLSX 91 kb)
DOI: 10.6084/m9.figshare.9728489.v1
title: Additional file 4: of Replicated methylation changes associated with eczema herpeticum and allergic response

description: Tables S5â S8. DMPs significant from severity analysis to follow up on results in Additional file 3: Table S4. (XLSX 120 kb)
DOI: 10.6084/m9.figshare.9728480.v1
title: Additional file 3: of Replicated methylation changes associated with eczema herpeticum and allergic response

description: Table S4. DMPs significant from ADEHâ vs controls and/or ADEH+ vs controls analysis at an FDR threshold of 0.05 from model adjusting for six cell types. (XLSX 91 kb)
DOI: 10.6084/m9.figshare.9728477
title: Additional file 2: of Replicated methylation changes associated with eczema herpeticum and allergic response

description: Table S2 and S3. DMPs significant from gene-based analysis for both phenotype groups and severity scores. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.9728477.v1
title: Additional file 2: of Replicated methylation changes associated with eczema herpeticum and allergic response

description: Table S2 and S3. DMPs significant from gene-based analysis for both phenotype groups and severity scores. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.9728465
title: Additional file 1: of Tephra clean-up after the 2015 eruption of Calbuco volcano, Chile: a quantitative geospatial assessment in four communities

description: Calbuco tephra clean-up model using Monte Carlo simulation. (XLSX 2170 kb)
DOI: 10.6084/m9.figshare.9728465.v1
title: Additional file 1: of Tephra clean-up after the 2015 eruption of Calbuco volcano, Chile: a quantitative geospatial assessment in four communities

description: Calbuco tephra clean-up model using Monte Carlo simulation. (XLSX 2170 kb)
DOI: 10.6084/m9.figshare.9728411
title: Raw Data

description: Raw data for the paper "Reduced body sizes in climate-impacted tropical insect assemblages are primarily explained by range shifts" on Nature Communication
DOI: 10.6084/m9.figshare.9728408
title: Part1-Model file

description: The final trained deep learning model file.
DOI: 10.6084/m9.figshare.9728393
title: 4.JGR4_supplementary_tables_and_figures-2019JB017490RR.docx

description: JGR4_supplementary_tables_and_figures-2019JB017490<br>Including 10 tables and 3 figures<br><br>
DOI: 10.6084/m9.figshare.9728390
title: Spo0 pathways of curated Firmicutes

description: List of manually curated Firmicutes having the Spo0 predicted pathway<br>Columns from "A" to "Q" show each predicted architecture<br>"0" stands for a not predicted architecture"1" stands for a predicted architecture Columns from "R" to "U" carry:<br>KEGG organism identifier Class Species Phenotype <br>Columns from "V" to "W" show the bibliographic reference; in all cases, we are giving live links to the publications. Column "V" shows annotations found in public curated databases.<br>
DOI: 10.6084/m9.figshare.9728408.v1
title: Part1-Model file

description: The final trained deep learning model file.
DOI: 10.6084/m9.figshare.9728393.v1
title: 4.JGR4_supplementary_tables_and_figures-2019JB017490RR.docx

description: JGR4_supplementary_tables_and_figures-2019JB017490<br>Including 10 tables and 3 figures<br><br>
DOI: 10.6084/m9.figshare.9728390.v1
title: Spo0 pathways of curated Firmicutes

description: List of manually curated Firmicutes having the Spo0 predicted pathway<br>Columns from "A" to "Q" show each predicted architecture<br>"0" stands for a not predicted architecture"1" stands for a predicted architecture Columns from "R" to "U" carry:<br>KEGG organism identifier Class Species Phenotype <br>Columns from "V" to "W" show the bibliographic reference; in all cases, we are giving live links to the publications. Column "V" shows annotations found in public curated databases.<br>
DOI: 10.6084/m9.figshare.9728411.v2
title: Raw Data

description: Raw data for the paper "Reduced body sizes in climate-impacted tropical insect assemblages are primarily explained by range shifts" on Nature Communication
DOI: 10.6084/m9.figshare.9728411.v1
title: Source Data

description: Source data for the paper "Reduced body sizes in climate-impacted tropical insect assemblages are primarily explained by range shifts" on Nature Communication
DOI: 10.6084/m9.figshare.9728282
title: Coding Schema and Bias Categories

description: Codebook for qualitative coding of cognitive biases in software development.
DOI: 10.6084/m9.figshare.9728057
title: Fischer_ECR-40_2019_SupplementaryFiles.zip

description: This is a set of input and output files related to the study "Proton acidity and proton mobility in ECR‐40, a silicoaluminophosphate that violates Löwenstein’s rule" published in <i>Chemistry - A European Journal</i>.<br><br>The following files are contained in this dataset:<br>ECR-40_calcined_exp.cif: CIF file containing experimental crystal structure data of calcined ECR-40CASTEP_opti.param: Sample input .param file of CASTEP optimisationCASTEP_opti.cell: Sample input .cell file of CASTEP optimisationCP2K_AIMD.inp: Sample input file of CP2K AIMD simulationECR-40_empty_ortho.cif: Sample CIF file read by CP2K inputCIFs_CASTEP_opti: Results of CASTEP optimisations (CIF format)CIFs_CP2K_AIMD_avpos: Average structures from AIMD simulations (CIF format)CIFs_CP2K_AIMD_last: Last frames from AIMD simulations (CIF format)
DOI: 10.6084/m9.figshare.9728021
title: Contained herein is the raw data underlying the findings described in the manuscript entitled, "Environmental impact on the temporal production of chasmogamous and cleistogamous flowers in the mixed breeding system of Viola pubescens".

description: The datasets include those used for modeling of the zero-inflated negative binomial and logistic regressions (Modeling_Data.xlsx) as well as canopy cover (Canopy_Cover.xlsx) and soil pH (soilpH.xlsx) data that were excluded from the modeling but still discussed within the manuscript.
DOI: 10.6084/m9.figshare.9728057.v1
title: Fischer_ECR-40_2019_SupplementaryFiles.zip

description: This is a set of input and output files related to the study "Proton acidity and proton mobility in ECR‐40, a silicoaluminophosphate that violates Löwenstein’s rule" published in <i>Chemistry - A European Journal</i>.<br><br>The following files are contained in this dataset:<br>ECR-40_calcined_exp.cif: CIF file containing experimental crystal structure data of calcined ECR-40CASTEP_opti.param: Sample input .param file of CASTEP optimisationCASTEP_opti.cell: Sample input .cell file of CASTEP optimisationCP2K_AIMD.inp: Sample input file of CP2K AIMD simulationECR-40_empty_ortho.cif: Sample CIF file read by CP2K inputCIFs_CASTEP_opti: Results of CASTEP optimisations (CIF format)CIFs_CP2K_AIMD_avpos: Average structures from AIMD simulations (CIF format)CIFs_CP2K_AIMD_last: Last frames from AIMD simulations (CIF format)
DOI: 10.6084/m9.figshare.9727913
title: EV for ECM data.xlsx

description: Data set supporting manuscript submission - "Extracellular vesicles influence the pulmonary arterial extracellular matrix in congenital diaphragmatic hernia."
DOI: 10.6084/m9.figshare.9727910
title: Largest Earthquakes

description: Independent/Poissonian earthquakes (Mw ≥ 6.5) for Mexico covering the spatial distribution between 91 to 117 W longitudes and 13 to 33 N latitudes during the time period of 1787 to 2018.
DOI: 10.6084/m9.figshare.9727895
title: LFP data from Steinmetz et al. 2019

description: <b>Raw LFP data during the recording sessions reported in Steinmetz et al. 2019.</b><br><i>Companion dataset to doi:10.6084/m9.figshare.9598406.</i><br>Each LFP file has 385 channels of int16 data at 2500Hz. They can be loaded directly into software like Neuroscope, and can be read in matlab like:<br>&gt;&gt; fid = fopen('thisfile.bin', 'r');&gt;&gt; dat = fread(fid, [385 Inf], '*int16');&gt;&gt; fclose(fid);<br><br>Note that the file may well be too large to fit into memory so you may not want to read "Inf" samples as in this example.<br>Each file has different start and end times, and there are drifts in the clocks between probes - so the timestamp files, which give the aligned timing information, must be used. These files are located in the companion dataset (with spiking and behavioral data). The aligned timestamps are specified in a particular way: an Nx2 matrix where the first column is sample numbers and the second column is the time in seconds at which those samples occurred. Since LFP was sampled regularly, N=2, just the first and last sample. So, to get the time at which every sample occurred, use this line in matlab:<br>&gt;&gt; tsData = readNPY('...lf.timestamps.npy');&gt;&gt; allTS = interp1(tsData(:,1), tsData(:,2), tsData(1,1):tsData(2,1));<br>That's just linearly interpolating between the times given for the first and last samples.<br>