cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15787/vtt1/bbjgfe
title: Real-Time Risk Prediction at Signalized Intersection Using Graph Neural Network (06-012)

description: Project Description: The project concerns with Real Time Risk Prediction at Signalized Intersection Using Graph Neural Network. We have primarily shown how existing infrastructure cameras and computer vision methods can be leveraged to study real time risk at every intersection. We use the kinematics, and relative behavior of each of the actors and use them in a graph neural network framework. However, infrastructure cameras often do not cover the full 360 degree view of the intersection. Hence, we do not gather a full picture of the intersection for risk prediction. Risk prediction related research can be accelerated if we use better bird’s eye view and better quality videos to develop algorithms that can measure risks. These learning can be transferred to infrastructure cameras later. In that effort we have leveraged a new drone dataset that captures four intersection in Virginia providing a detailed picture of the intersection, entry and exit of each vehicle in the intersection. Data Scope: Drone-based trajectory dataset would be useful for analyzing the behavior at various intersections. Traffic forecasting and safety metric calculation are some of the things that can be performed on this kind of dataset. Drone-based data collection allows for precise localization and trajectory extraction of traffic participants. Data Specification: The description of the annotated file is as follows: For the original video, I extracted 1000 frames of images, including 500 on May 31st and 500 on June 15th respectively; Each image corresponds to a CSV file. The format of the CSV file is shown in the right figure：Each row represents the annotation information of a target in the image. Label_id：is equivalent to object id x: The value of the center position of the rectangle on the u-axis of the image y: The value of the center position of the rectangle on the V-axis of the image width & length：The length and width of the rectangle along the longitudinal direction of the target(Sorry, it's actually reversed here) heading: The angle at which the forward direction of the target rotates counterclockwise relative to the u-axis (0-360 degrees) class：Categories of annotated targets 1：pedestrian 2：bicycle/motorcycle 3：tricycle 4：animal 5：car 6：bus 7: Truck/carrier/van(Excluding pickup trucks, we think they are closer to car)
DOI: 10.25345/c56q1st46
title: MassIVE MSV000093599 - Tall Wheatgrass root exudate metabolipidome
title: Metabolomics and lipidomics analysis of mature, field grown tall wheatgrass root exudates. Study conducted as part of the PNNL Soil Microbiome SFA. If this data is used, please cite (insert DOI of manuscript once published)
DOI: 10.15787/vtt1/lwa2vp
title: Enhancing automated vehicle safety through testing with realistic driver models (06-009)

description: Project Description: Improving safety during interactions between human drivers and automated vehicles requires an environment where autonomous vehicle software can interact with realistic human driving behavior. Generating this behavior has been challenging due a lack of driver models that accurately reflect both vehicle kinematics and driver cognition. In this project we propose to develop an active inference model of car following behavior that will resolve these limitations. We use the publicly available INTERACTION dataset to fit and estimate the parameters of the proposed driver model. We assess our model’s ability to replicates human driving behavior in the dataset and handle conflict scenarios compared to established driver modeling paradigms. Data Scope: We use the publicly available INTERACTION dataset. The INTERACTION dataset is collected using drones on fixed road segments in the USA, Germany, and China. The dataset provides a lanelet2 format map and a set of time-indexed trajectories of the positions, velocities, and headings of each vehicle in the scene in the map's coordinate system at a sampling frequency of 10 Hz, and the vehicle's length and width for each road segment. Data Specification: Complete description of the INTERACTION dataset can be found on the official website: https://interaction-dataset.com/
DOI: 10.5517/ccdc.csd.cc28842s
title: CCDC 2093184: Experimental Crystal Structure Determination

description: Related Article: Marina A. Kiseleva, Andrei V. Churakov, Ilya V. Taydakov, Mikhail T. Metlin, Sergey A. Kozyukhin, Stanislav I. Bezzubov|2023|Dalton Trans.|52|17861|doi:10.1039/D3DT02651E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28845w
title: CCDC 2093187: Experimental Crystal Structure Determination

description: Related Article: Marina A. Kiseleva, Andrei V. Churakov, Ilya V. Taydakov, Mikhail T. Metlin, Sergey A. Kozyukhin, Stanislav I. Bezzubov|2023|Dalton Trans.|52|17861|doi:10.1039/D3DT02651E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d1q9h
title: CCDC 2206186: Experimental Crystal Structure Determination

description: Related Article: Saurabh  Singh|2022|CSD Communication|||
description: Related Article: Saurabh Singh, Gaurav Shukla, Subhasish Ray, Maya Shankar Singh
|2023|Synthesis|55|1893|doi:10.1055/a-2013-5801
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10283274
title: Customized gtf file from Ensembl version 109 GRCz11 (danRer11)

description: The gtf from Ensembl version 109 GRCz11 (danRer11) was filtered to remove transcripts on alternative chromosomes, readthrough transcripts and all non-coding transcripts from a protein-coding gene. In addition, all genes with the same gene name which overlaps were merged under the same gene id to avoid ambiguous reads.The procedure to generate the gtf is described in the bash file attached.
DOI: 10.5281/zenodo.10283273
title: Customized gtf file from Ensembl version 109 GRCz11 (danRer11)

description: The gtf from Ensembl version 109 GRCz11 (danRer11) was filtered to remove transcripts on alternative chromosomes, readthrough transcripts and all non-coding transcripts from a protein-coding gene. In addition, all genes with the same gene name which overlaps were merged under the same gene id to avoid ambiguous reads.The procedure to generate the gtf is described in the bash file attached.
DOI: 10.5281/zenodo.7672108
title: Temperature-related mortality exposure-response functions for 854 cities in Europe

description: This repository contains data to reconstruct the exposure-response functions (ERF) of temperature-related mortality by five 5 age groups in 854 cities in Europe. These ERFs have been derived in the study by Masselot et al. 2023, <em>Excess mortality attributed to heat and cold: a health impact assessment study in 854 cities in Europe</em>, The Lancet Planetary Health (https://doi.org/10.1016/S2542-5196(23)00023-2). An associated semi-replicable GitHub repository is available at https://github.com/PierreMasselot/Paper--2023--LancetPH--EUcityTRM to reproduce part of the analysis and the full results, as well as to provide technical details on the derivation of these ERFs. <strong>Extraction of the ERFs</strong> The ERFs are provided as coefficients of B-spline functions that can be used to reconstruct the ERFs, along with variance-covariance matrices and quantiles from location-specific temperature distributions. The parametrisation associated with these coefficients is a quadratic B-spline (degree 2), with knots located at the 10th, 75th and 90th percentiles of the temperature distribution. In R, the associated basis can be constructed using the <em>dlnm</em> package, with a temperature series <em>x</em>, as follows: <pre><code>library(dlnm) basis &lt;- onebasis(x, fun = "bs", degree = 2, knots = quantile(x, c(.1, .75, .9)))</code></pre> The main files in this repo are the following: <em>coefs.csv</em>: The B-spline coefficients for each age group and city. <em>vcov.csv</em>: The variance-covariance matrix of the coefficients in each city and age group. It is provided here as the lower triangular part of the matrix with names indicating the position of each value (v[row][column]). In R, assuming <em>x</em> is a row of this file, the matrix can be reconstructed as follows. <pre><code>library(mixmeta) xpndMat(x)</code></pre> <em>coef_simu.csv</em>: 1000 simulations from the distribution of each city and age-specific coefficients. Useful to derive empirical confidence intervals for derived measures such as excess deaths or attributable fractions. <em>tmean_distribution.csv</em>: The city-specific temperature percentiles representing the distribution of the data derived from the ERA5-Land dataset. <em>city_results.csv</em>: A summary of the results from the health impact assessment reported in the analysis. The dataset includes several impact measures for each city and age group. <em>metadata.csv</em>: City-specific metadata used to create the ERFs and perform the health impact assessment. In addition, this repo includes the zip file <em>additional_data.zip</em> containing further data used to replicate the second stage of the analysis and the final health impact assessment. Please note that due to restrictive data-sharing agreements for the mortality series, only a part of the code is reproducible. See the associated GitHub repository for more details.
DOI: 10.15787/vtt1/c9nx7e
title: Evaluation of Eyes Off Road During L2 Activation on Uncontrolled Access Roadways (VTTI-00-031)

description: Project Description: The current study investigated eyes off-road (EOR) behavior of drivers when traveling on uncontrolled access roadways in vehicles equipped with L2 automated features. Previously collected naturalistic driving data (NDD) were analyzed. 771 events were split between L2 features being active or available but inactive and matched across a spectrum of criteria (e.g., time of day). Primary analyses focused on L2 activation status (active or available but inactive and intersection type (no intersection, straight through intersection, and turning) and any interaction between those variables affecting EOR behavior for a given driver. EOR glances were operationalized in two ways: EOR 1) only forward was considered on-road EOR 2) all driving related glances were considered on-road. EOR metrics involved total EOR, mean EOR, single longest glance, and number of glances per event. Data Scope: 771 events are included in this dataset. 30-seconds of eyeglance data were reduced for each event. This dataset contains categorical and continuous variables that are based off of kinematic (i.e., speed) and video (e.g., eyeglance) data. Data Specification: Please see Variable Definition pdf document below.
DOI: 10.5519/qd.8mxynrrp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (75 records)
DOI: 10.34740/kaggle/dsv/7149072
title: Monthly Bilateral USD Exchange Rates 2013-2023
DOI: 10.6084/m9.figshare.24765687
title: list_hurr.xlsx

description: The list of hurricanes along with the category, and associated death and damage information.
DOI: 10.6084/m9.figshare.24765687.v1
title: list_hurr.xlsx

description: The list of hurricanes along with the category, and associated death and damage information.
DOI: 10.15454/8dhkgl/bqty3o
title: asso-279_explo-geno_chip-gbs_imputation_beagle.Rmd

description: :unav
DOI: 10.15454/8dhkgl/cwfj8h
title: asso-279_covar-traits-BLUPs.Rmd

description: :unav
DOI: 10.15454/8dhkgl/mdet5w
title: analysis_results_multiSNP-mlmmgwas.R

description: :unav
DOI: 10.15454/8dhkgl/wssvoj
title: panel279_panel279_raw-snps_gatk-filter.vcf.gz

description: :unav
DOI: 10.15454/8dhkgl/x67mfs
title: demultiplex.py

description: :unav
DOI: 10.15454/8dhkgl/1bueeh
title: DLVitis_virus.tsv

description: :unav
DOI: 10.15454/8dhkgl/by1m6m
title: panel279_all-gbs-samples_RFCV-identifiers.tab

description: :unav
DOI: 10.15454/8dhkgl/crj5kw
title: asso-279_explo-geno_SNPs_genrel.Rmd

description: :unav
DOI: 10.15454/8dhkgl/mmhk4e
title: snp-chip-genotypes_277-var_13925-snps.vcf.gz

description: :unav
DOI: 10.15454/8dhkgl/ohxncz
title: Innovine_mcw_data.tab

description: :unav
DOI: 10.15454/8dhkgl/wxnrtf
title: analysis_results_H2-gwas-genpred.R

description: :unav
DOI: 10.15454/8dhkgl/dkdoms
title: snp-chip-gbs-genotypes_concat-fill_beagle_tag-filter-ld9_rm-dup.vcf.gz

description: :unav
DOI: 10.15454/8dhkgl/ikuwdg
title: asso-279_explo-geno_SNPs_karyogram.Rmd

description: :unav
DOI: 10.15454/8dhkgl/l8z9mu
title: DLVitis_field-layout.tab

description: :unav
DOI: 10.15454/8dhkgl/p9bupd
title: asso-279_explo-geno_chip.Rmd

description: :unav
DOI: 10.15454/8dhkgl/v1kcgm
title: asso-279_Innovine_phenotypes_clean.tab

description: :unav
DOI: 10.15454/8dhkgl/gvo7bu
title: DLVitis_genotype-identifiers.tab

description: :unav
DOI: 10.15454/8dhkgl/hefpap
title: analysis_results_multiSNP-varbvs.R

description: :unav
DOI: 10.15454/8dhkgl/izs1nn
title: analysis_results_compare-QTLs.R

description: :unav
DOI: 10.15454/8dhkgl/kcfsoi
title: plot_Fig1.R

description: :unav
DOI: 10.15454/8dhkgl/vcvje9
title: Innovine_polyphenols_data.tab

description: :unav
DOI: 10.15454/8dhkgl/79zq4e
title: GrapeReSeq_Illumina_18K_SNP_array_no-Pltd_12Xv2.gff3

description: :unav
DOI: 10.15454/8dhkgl/9pgh8v
title: analysis_results_boxplots-per-SNP.R

description: :unav
DOI: 10.15454/8dhkgl/cjwwcy
title: analysis_results_karyogram-QTLs.R

description: :unav
DOI: 10.15454/8dhkgl/eypabz
title: asso-279_explo-geno_SNPs_maf.Rmd

description: :unav
DOI: 10.15454/8dhkgl/u73pad
title: asso-279_trait-blups_SNPs_varbvs_genpred-crossval.Rmd

description: :unav
DOI: 10.15454/8dhkgl/xer3gw
title: asso-279_explo-geno_prepare-SxG.Rmd

description: :unav
DOI: 10.15454/8dhkgl/0ynwxa
title: gbs.py

description: :unav
DOI: 10.15454/8dhkgl/3iwjvt
title: snp-chip-genotypes_277-var_13404-snps_imp-mean_ld9_gdoses.txt.gz

description: :unav
DOI: 10.15454/8dhkgl/j85frp
title: asso-279_trait-blups_SNPs_rrBLUP_genpred-crossval.Rmd

description: :unav
DOI: 10.15454/8dhkgl/jifag4
title: asso-279_explo-geno_SNPs_LD.Rmd

description: :unav
DOI: 10.15454/8dhkgl/lmpqe7
title: asso-279_explo-pheno_lme4.Rmd

description: :unav
DOI: 10.15454/8dhkgl/qwv5bs
title: asso-279_DLVitis_phenotypes_clean.tab

description: :unav
DOI: 10.15454/8dhkgl/3bol4y
title: genotypes_18071-SNP_279-var_apres-relecture.csv.gz

description: :unav
DOI: 10.15454/8dhkgl/cortxq
title: analysis_results_compare-SNPs.R

description: :unav
DOI: 10.15454/8dhkgl/grdg4n
title: asso-279_trait-blups_SNPs_lme4.Rmd

description: :unav
DOI: 10.15454/8dhkgl/r93kcs
title: Innovine_aromas_data.tab

description: :unav
DOI: 10.15454/8dhkgl/ue6zpm
title: Innovine_polyphenols_codes.tab

description: :unav
DOI: 10.15454/8dhkgl/yl12k0
title: plot_Fig2.R

description: :unav
DOI: 10.15454/8dhkgl/n8hzwz
title: rmd2out.R

description: :unav
DOI: 10.15454/8dhkgl/pjk79i
title: DLVitis_phenotypes.tab

description: :unav
DOI: 10.15454/8dhkgl/r6kkrn
title: asso-279_explo-geno_impute-SxG.Rmd

description: :unav
DOI: 10.15454/8dhkgl/ran189
title: asso-279_Innovine_polyphenols_phenotypes_clean.tab

description: :unav
DOI: 10.15454/8dhkgl/z0a90d
title: analysis_results_SNPbySNP-gemma.R

description: :unav
DOI: 10.15454/8dhkgl/5wzgve
title: test_demultiplex.py

description: :unav
DOI: 10.15454/8dhkgl/eqdv8e
title: asso-279_train-panel_predict-SxG.Rmd

description: :unav
DOI: 10.15454/8dhkgl/jnycb5
title: test_gbs.py

description: :unav
DOI: 10.15454/8dhkgl/l6ndvy
title: asso-279_Innovine_HC.t.coumar.ac_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/lfo8rf
title: analysis_results_candidate_genes.R

description: :unav
DOI: 10.15454/8dhkgl/miz7ka
title: asso-279_Innovine_AF..epi.cat.eth.Mv.glc.i1_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/7s8ucn
title: asso-279_DLVitis_gluonfru_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/drljvj
title: asso-279_Innovine_AN.Pt.diglc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/h0abyr
title: asso-279_DLVitis_nbclu_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/ry7dy3
title: asso-279_Innovine_AP.py.Pn.glc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/ugnlrw
title: asso-279_Innovine_AN.Dp.caffglc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/daw1ed
title: asso-279_Innovine_AN.Cy.glc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/ouq0fu
title: asso-279_Innovine_FA..epi.gallocat.phlo_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/pe1apu
title: asso-279_Innovine_CV.p.TN.gall_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/ucppxo
title: asso-279_Innovine_FO.laric.glucur_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/zvecaq
title: asso-279_Innovine_AN.Pn.acglc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/7qt45n
title: asso-279_Innovine_FA.cat.term_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/clb53o
title: asso-279_Innovine_HB.protocat.ac_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/drgdwi
title: asso-279_DLVitis_frunorm_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/gpuex8
title: asso-279_Innovine_ST.c.piceid_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/kldxrm
title: asso-279_DLVitis_clucomp_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/mjcegh
title: asso-279_Innovine_CV.dp.TN_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/5vd992
title: asso-279_Innovine_ST.piceat_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/a1tje5
title: asso-279_Innovine_AF.Pt.glc..epi.cat_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/ljqxkh
title: asso-279_Innovine_FA.gallocat.term_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/yeb6tj
title: asso-279_Innovine_FO.kaempf.glc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/z5uews
title: asso-279_Innovine_ST.t.piceid_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/cqf24e
title: asso-279_DLVitis_cinorm_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/dhlbv0
title: asso-279_Innovine_CV.p.AN.met_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/jbcmfz
title: asso-279_Innovine_ST.t.resver_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/odovi8
title: asso-279_Innovine_FA.epicat_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/sddtfq
title: asso-279_Innovine_FO.isorham.glucur_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/xmg7lb
title: asso-279_Innovine_pdms_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/1ibh2t
title: asso-279_Innovine_OT.GSH_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/8juiof
title: asso-279_Innovine_CV.p.FO.met_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/ap58hb
title: asso-279_Innovine_AF.Mv.glc..epi.gallocat_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/jj61vd
title: asso-279_Innovine_mbw_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/qpjmzx
title: asso-279_Innovine_AF..epi.cat.eth.Pn.glc.i2_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/2wdh3p
title: asso-279_Innovine_AN.Pg.acglc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/cfmug3
title: asso-279_Innovine_AN.Cy.coumglc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/gkenfq
title: asso-279_Innovine_FO.kaempf.glucur_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/jrj7rg
title: asso-279_Innovine_CV.s.ST_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/tl8v6c
title: asso-279_DLVitis_mcwi_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/ywczgf
title: asso-279_Innovine_AP.hp.py.Pn.glc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/1bwjsl
title: asso-279_Innovine_FA.epicat.gall.term_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/5cdnsk
title: asso-279_Innovine_AF..epi.gallocat.Mv.glc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/84nbxp
title: asso-279_Innovine_AN.Dp.diglc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/vgvxe6
title: asso-279_DLVitis_vermatu_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/w7lcr6
title: asso-279_Innovine_FA.gallocat_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/7hcwvl
title: asso-279_DLVitis_mcl_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/9bejps
title: asso-279_DLVitis_vigour_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/bhfckg
title: asso-279_Innovine_AN.Cy.diglc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/hhokua
title: asso-279_Innovine_HF.astilb_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/vhm8yg
title: asso-279_Innovine_FO.laric.glc_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/1wx8om
title: asso-279_DLVitis_d13C_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/iqwf5v
title: asso-279_DLVitis_glufrutar_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/u2gzfr
title: asso-279_Innovine_mcw_lme4_geno-values.tsv

description: :unav
DOI: 10.15454/8dhkgl/w0qi53
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title: asso-279_Innovine_CV.s.HB_lme4_geno-values.tsv

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