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diff --git a/dois-uga.csv b/dois-uga.csv
index 5c89f0690e59d092298a4639343290235aa2e42f..7e32af85c9da3f8ed81f7bd1b7fc9626edfbafcc 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -4938,3 +4938,227 @@ This software is released under the MIT License. 
 Acknowledgments
 
 Freunde von GISAID and all the researchers that deposited their sequences in their database. Nadia Naffakh for the cannonical sequences max and min sizes and discussion. Darren Hart for discussion.",api,True,findable,0.0,0.0,0.0,1.0,0.0,2024-02-13T01:00:52.000Z,2024-02-13T01:00:52.000Z,cern.zenodo,cern,"influenza,TDP-43,GISAID","[{'subject': 'influenza'}, {'subject': 'TDP-43'}, {'subject': 'GISAID'}]",,
+10.6084/m9.figshare.20221967,Additional file 1 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter case–control computed tomography study,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,Additional file 1: Computation of compliance of the already aerated lung at PEEP 5 (CBABY LUNG),mds,True,findable,0.0,0.0,27.0,1.0,0.0,2022-07-04T06:41:05.000Z,2022-07-04T06:41:06.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['149761 Bytes'],
+10.5061/dryad.xpnvx0knw,"Drying and fragmentation drive the dynamics of resources, consumers and ecosystem functions across aquatic-terrestrial habitats in a river network",Dryad,2024.0,en,Dataset,Creative Commons Zero v1.0 Universal,"Rivers form meta-ecosystems, in which disturbance and connectivity control
+ biodiversity, ecosystem functioning, and their interactions – across the
+ river network, but also across connected instream and riparian ecosystems.
+ This aquatic-terrestrial linkage is modified by drying; a disturbance that
+ also naturally fragments river networks and thereby modifies organism
+ dispersal and organic matter (OM) transfers across the river network.
+ However, little evidence of the effects of drying on river network-scale
+ OM cycling exists. Here, we assessed the effects of fragmentation by
+ drying at the river meta-ecosystem scale by monitoring, leaf resource
+ stocks, invertebrate communities, and decomposition rates across three
+ seasons and 20 sites, in the instream and riparian habitats of a river
+ network naturally fragmented by drying. Although instream leaf resource
+ quantity and quality increased, leaf-shredder invertebrate richness and
+ abundance decreased with flow intermittence. Decomposition was however
+ mainly driven by network-scale fragmentation and connectivity. Shredder
+ richness and invertebrate-driven decomposition both peaked at sites with
+ an intermediate amount of intermittent reaches upstream, suggesting that
+ upstream drying can promote the biodiversity and functioning of downstream
+ ecosystems. Shredder richness had however a negative effect on
+ decomposition in perennial sites, likely due to interspecific competition.
+ Leaf quantity, invertebrate communities, and invertebrate-driven
+ decomposition became more similar between instream and riparian habitats
+ as drying frequency increased, likely due to homogenization of
+ environmental conditions between both habitats as the river dries. Our
+ study demonstrates the paramount effects of drying on the dynamics of
+ resources, communities, and ecosystem functioning in rivers and represents
+ one of the first network-scale evidence of the co-drivers of ecosystem
+ functions across terrestrial-aquatic boundaries.",mds,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-15T20:27:36.000Z,2024-02-15T20:27:37.000Z,dryad.dryad,dryad,"subsidies,meta-ecosystems,Metacommunities,Decomposition,biodiversity-ecosystem functioning relationships (BEF),FOS: Biological sciences,FOS: Biological sciences","[{'subject': 'subsidies'}, {'subject': 'meta-ecosystems'}, {'subject': 'Metacommunities'}, {'subject': 'Decomposition', 'schemeUri': 'https://github.com/PLOS/plos-thesaurus', 'subjectScheme': 'PLOS Subject Area Thesaurus'}, {'subject': 'biodiversity-ecosystem functioning relationships (BEF)'}, {'subject': 'FOS: Biological sciences', 'subjectScheme': 'fos'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['212839 bytes'],
+10.6084/m9.figshare.20221985,Additional file 6 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter case–control computed tomography study,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,Additional file 6: Multivariate analysis of variables associated with PEEP-induced lung recruitment,mds,True,findable,0.0,0.0,27.0,1.0,0.0,2022-07-04T06:41:15.000Z,2022-07-04T06:41:16.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['15887 Bytes'],
+10.6084/m9.figshare.20221982,Additional file 5 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter case–control computed tomography study,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,Additional file 5: Univariate analysis of variables associated with lung recruitment,mds,True,findable,0.0,0.0,27.0,1.0,0.0,2022-07-04T06:41:13.000Z,2022-07-04T06:41:14.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['19706 Bytes'],
+10.6084/m9.figshare.12886129,Additional file 2 of Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 2: Figure S2. Proportions of patients given epidural analgesia in each study ICU.,mds,True,findable,0.0,0.0,1.0,1.0,0.0,2020-08-28T04:02:53.000Z,2020-08-28T04:02:54.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",['14048 Bytes'],
+10.6084/m9.figshare.14450784,Additional file 2 of Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders,figshare,2021.0,,Text,Creative Commons Attribution 4.0 International,"Additional file 2: Supplementary Figures S1-S5. Fig. S1. Dendrogram of hnRNPs based on multiple sequence alignment of canonical amino acid sequences. Colors match those seen in Fig. 2. NDD hnRNPs are shown in black boxes. Fig. S2. Pathogenicity assessment of variation in hnRNPs. A) Gene Variation Intolerance Ranking (GeVIR), loss-of-function observed/expected upper bound fraction (LOEUF), and Variation Intolerant Region Loss-of-Function (VIRLoF) percentiles. Average LOEUF percentile is significantly higher for NDD HNRNPs (n = 13) compared to other HNRNPs (n = 15). B) Average fold change for GeVIR, LEOUF, and VIRLoF for autosomal dominant (AD) and autosomal recessive (AR) variants. Average LEOUF fold change for AD mutations is significantly higher for NDD HNRNPs compared to other HNRNPs, with the AD VIRLoF fold change trending in the same direction. The AR LEOUF fold change is trending towards being significantly higher among other HNRNPs compared to NDD HNRNPs. One-way t-test. * p < 0.05. Fig. S3. Expression of HNRNPs among adult tissues and the developing human cortex. A) Heatmap of all HNRNP expression in developing cortex tissues. B) Comparison of fold expression of NDD HNRNPs to non-NDD HNRNPs. C) Heatmap of all HNRNP expression (transcript level expression) in adult brain tissues from GTEx. D) Heatmap of NDD HNRNP expression (transcript level expression) in all tissues from GTEx. Fig. S4. Phenotypic correlations for LGD and missense variant probands. A) Correlation matrix of phenotypes across HNRNP probands with LGD variation (genes with only missense variation excluded) and B) severe missense variation (genes with only LGD variation excluded. * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001. Fig. S5. Phenotypic comparisons between LGD and missense variants by HNRNP. Fig. S6. GTEx expression of NDD HNRNPs and genes associated with similarly presenting disorders.",mds,True,findable,0.0,0.0,85.0,1.0,0.0,2021-04-20T03:46:20.000Z,2021-04-20T03:46:21.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['12872 Bytes'],
+10.6084/m9.figshare.14870669,Additional file 1 of Non-invasive ventilation versus high-flow nasal oxygen for postextubation respiratory failure in ICU: a post-hoc analysis of a randomized clinical trial,figshare,2021.0,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Comparison between patients who were discharged alive from ICU and those who died in ICUs after post-extubation respiratory failure.,mds,True,findable,0.0,0.0,28.0,1.0,0.0,2021-06-29T04:34:59.000Z,2021-06-29T04:35:00.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Physiology,FOS: Biological sciences,Immunology,FOS: Clinical medicine,Marine Biology,Cancer,Infectious Diseases,FOS: Health sciences,Virology,Computational Biology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Marine Biology'}, {'subject': 'Cancer'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",['212729 Bytes'],
+10.6084/m9.figshare.20221970,Additional file 2 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter case–control computed tomography study,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,Additional file 2: Flow chart of the study,mds,True,findable,0.0,0.0,27.0,1.0,0.0,2022-07-04T06:41:08.000Z,2022-07-04T06:41:10.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['157413 Bytes'],
+10.6084/m9.figshare.13323658,Additional file 3 of Impact of advance directives on the variability between intensivists in the decisions to forgo life-sustaining treatment,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 3. Flow chart and timing of the study (Figure).,mds,True,findable,0.0,0.0,33.0,1.0,0.0,2020-12-03T04:33:51.000Z,2020-12-03T04:33:56.000Z,figshare.ars,otjm,"Cell Biology,Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['131427 Bytes'],
+10.6084/m9.figshare.12291716,Additional file 4 of Association of helicopter transportation and improved mortality for patients with major trauma in the northern French Alps trauma system: an observational study based on the TRENAU registry,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 4. Prehospital times according to transportation mode including multiple imputation and complete case analysis as sensitivity analysis.,mds,True,findable,0.0,0.0,16.0,0.0,0.0,2020-05-13T03:42:09.000Z,2020-05-13T03:42:13.000Z,figshare.ars,otjm,"Medicine,Environmental Sciences not elsewhere classified,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['15146 Bytes'],
+10.6084/m9.figshare.12291689,Additional file 1 of Association of helicopter transportation and improved mortality for patients with major trauma in the northern French Alps trauma system: an observational study based on the TRENAU registry,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Trauma system of the Northern French Alps Emergency Network.,mds,True,findable,0.0,0.0,16.0,0.0,0.0,2020-05-13T03:41:51.000Z,2020-05-13T03:41:52.000Z,figshare.ars,otjm,"Medicine,Environmental Sciences not elsewhere classified,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['635334 Bytes'],
+10.5281/zenodo.10265626,Dataset for first resonant PXCT experiments at the SWING beamline at Synchrotron Soleil,Zenodo,2024.0,,Dataset,Creative Commons Attribution 4.0 International,"This dataset was acquired at the SWING beamline at the French synchrotron SOLEIL. The ptychographic scans consisted of 205 diffraction patterns from a field of view of 14x12 µm² with an exposure time of 100 ms per point. The ptychographic reconstruction was carried out using the PtychoShelves Matlab software package [1], involving 200 iterations of the difference map (DM) algorithm, followed by 100 iterations of the maximum likelihood (ML) algorithm.
+
+The dataset consists of the ptychographic reconstructions of two ptychographic tomography scans at energies 8383 eV and 8337 eV, the angle files, and the corresponding tomograms as slices.
+
+Niwire_3D_8383 - ptychographic reconstructions of the 200 projections at 3838 eV
+
+Niwire_3D_8337 - ptychographic reconstructions of the 210 projections at 8337 eV (10 duplicate angles)
+
+Niwire8383_TIFF_delta_FBP_ram-lak_freqscl_1.00 - tomographic reconstruction (with PtychoShelves [2]) of the Niwire measured at 8383 eV
+
+Niwire8337_TIFF_delta_FBP_ram-lak_freqscl_1.00 - tomographic reconstruction (with PtychoShelves [2]) of the Niwire measured at 8337 eV
+
+angles_Niwire8383 - the angles of the tomographic scan at 8383 eV
+
+angles_Niwire8383 - the angles of the tomographic scan at 8337 eV
+
+ 
+
+[1] Wakonig, K., Stadler, H.-C., Odstrčil, M., Tsai, E. H. R., Diaz, A., Holler, M., Usov, I., Raabe, J., Menzel, A. & Guizar-Sicairos, M. (2020). PtychoShelves, a versatile high-level framework for high-performance analysis of ptychographic data. J. Appl. Cryst. 53, 574-586.
+
+[2] Michal Odstrčil, Mirko Holler, Jörg Raabe, and Manuel Guizar-Sicairos, ""Alignment methods for nanotomography with deep subpixel accuracy,"" Opt. Express 27, 36637-36652 (2019)",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-13T07:48:59.000Z,2024-02-13T07:48:59.000Z,cern.zenodo,cern,"Ptychography,Ptychographic X-Ray Computed Tomography,Spectral Ptychography,Resonant Ptychography,SWING beamline,SOLEIL synchrotron","[{'subject': 'Ptychography'}, {'subject': 'Ptychographic X-Ray Computed Tomography'}, {'subject': 'Spectral Ptychography'}, {'subject': 'Resonant Ptychography'}, {'subject': 'SWING beamline'}, {'subject': 'SOLEIL synchrotron'}]",,
+10.5281/zenodo.10423906,"Neuroimaging data related to the study: ""Dynamics of White Matter Architecture in Lexical Production among Middle-Aged Adults""",Zenodo,2024.0,en,Dataset,Creative Commons Attribution Non Commercial 4.0 International,"See the accompanying code repository
+
+Track-Weighted Imaging (TWI)
+
+
+
+TW_FA_Gaussian25_155subj.mif.gz (dim 121 x 152 x 121 x 155): Track-Weighted Fractional Anisotropic images (TW-FA) generated with 25 mm neighborhood weighting (per-track smoothing) in template space.
+
+155subj_FA_map.mif.gz (dim 128 x 128 x 88): Fractional Anistropic images (FA).
+
+wmfod_norm_up.mif.gz (dim 121 x 152 x 121 x 45): Study template derived from white matter fiber orientation distribution (FOD), normalized, and upsampled to 1.5 mm isotropic.
+
+SH_peaks_template.mif.gz (dim 121 x 152 x 121 x 9): Spherical Harmonics peaks derived from the study template (used to generate TOM and TOM trackings with TractSeg).
+
+
+Non-Negative Matrix Factorization (NMF)
+
+
+
+W.mat & H.mat: Solutions from NMF. The optimal solution found for this study is the one with 16 networks (i.e., in the 8th position in the mat files as there is a 2-step increment between solutions).
+
+Network_Parcellation_NNMF.nii: 3D volume containing the part-based solution derived from NMF (i.e., 16 spatially non-overlapping networks of structurally covarying white matter areas).
+
+Network_Parcellation_NNMF_cluster.nii: IDEM but only considering clusters of at least 25 connected voxels within each network (used to compute the overlap with TractSeg bundles).
+
+
+BRAIN VISUALIZATION
+
+For figure 2:
+
+
+
+TW_FA_Gaussian25_155subj_mean_mesh.obj: White Matter Mesh derived from the mean image (used with the surfice software).
+
+NMF_age_networks_composition.xlsx: Dataset containing the spatial, connectivity, and composite score used to determine the composition of each NMF-derived network.
+
+*_track_overlay.tck: The 6 Tractography files to overlay onto the mesh for visualizating the bundles most contributing to the middle-age-related NMF networks.
+
+
+For figure 3 & 4:
+
+
+
+TW_FA_Gaussian25_155subj_mean.nii: Mean TW-FA image across all subjects.
+
+TW_FA_Gaussian25_155subj_mean_mask_95.nii: Binary group mask containing only the voxels that had a non-null TW-FA value across at least 95% of subjects.
+
+*LC1_BSR_saliences.nii & *LC2_BSR_saliences.nii: Voxel-level salience map of the 1st and 2nd latent component (unthresholded; please note that only BSR +/- 2.58 signified a robust contribution in our study).
+
+NNMF_BSR_LC1.nii: Network-level salience map.
+
+*res & save_opts.mat: Partial Least Squares (PLS) results and parameters.",api,True,findable,0.0,0.0,0.0,0.0,1.0,2024-02-09T11:30:32.000Z,2024-02-09T11:30:33.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.12291707,Additional file 3 of Association of helicopter transportation and improved mortality for patients with major trauma in the northern French Alps trauma system: an observational study based on the TRENAU registry,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 3. Logistic regression with in-hospital death as dependent variable and random effect on prehospital team.,mds,True,findable,0.0,0.0,16.0,0.0,0.0,2020-05-13T03:41:58.000Z,2020-05-13T03:41:59.000Z,figshare.ars,otjm,"Medicine,Environmental Sciences not elsewhere classified,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['15733 Bytes'],
+10.6084/m9.figshare.12886126,Additional file 1 of Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020.0,,Image,Creative Commons Attribution 4.0 International,Additional file 1: Figure S1. Patient flow chart.,mds,True,findable,0.0,0.0,1.0,1.0,0.0,2020-08-28T04:02:56.000Z,2020-08-28T04:02:58.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",['47468 Bytes'],
+10.5281/zenodo.10654576,"Calculs de Puissance, de la Taille d'Échantillon et du Smallest Effect Size of Interest (SESOI)",Zenodo,2024.0,,InteractiveResource,Creative Commons Attribution 4.0 International,"Cet atelier à pour objectif d'expliquer pourquoi et comment conduire (a) un calcul de puissance, (b) un calcul de taille d'échantillon et (c) un calcul du Smallest Effect Size of Interest (SESOI). Une étude fictive nous permet d'illustrer ces concepts tout au long de l'atelier, notamment via l'utilisation du logiciel G*Power.
+
+Vous trouverez les ressources suivantes :
+
+
+
+L'enregistrement vidéo de l'atelier
+
+Le support .pdf qui intègre les ressources utilisées pour créer l'atelier et vous permettre d'aller plus loin dans cette réflexion",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-13T14:28:34.000Z,2024-02-13T14:28:34.000Z,cern.zenodo,cern,"Power analysis,Sample size,Smallest effect size of interest","[{'subject': 'Power analysis'}, {'subject': 'Sample size'}, {'subject': 'Smallest effect size of interest'}]",,
+10.6084/m9.figshare.12270158,Additional file 2 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Characteristics of inclusion centers.,mds,True,findable,0.0,0.0,33.0,0.0,0.0,2020-05-08T04:08:05.000Z,2020-05-08T04:08:06.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['16126 Bytes'],
+10.5281/zenodo.10265625,Dataset for first resonant PXCT experiments at the SWING beamline at Synchrotron Soleil,Zenodo,2024.0,,Dataset,Creative Commons Attribution 4.0 International,"This dataset was acquired at the SWING beamline at the French synchrotron SOLEIL. The ptychographic scans consisted of 205 diffraction patterns from a field of view of 14x12 µm² with an exposure time of 100 ms per point. The ptychographic reconstruction was carried out using the PtychoShelves Matlab software package [1], involving 200 iterations of the difference map (DM) algorithm, followed by 100 iterations of the maximum likelihood (ML) algorithm.
+
+The dataset consists of the ptychographic reconstructions of two ptychographic tomography scans at energies 8383 eV and 8337 eV, the angle files, and the corresponding tomograms as slices.
+
+Niwire_3D_8383 - ptychographic reconstructions of the 200 projections at 3838 eV
+
+Niwire_3D_8337 - ptychographic reconstructions of the 210 projections at 8337 eV (10 duplicate angles)
+
+Niwire8383_TIFF_delta_FBP_ram-lak_freqscl_1.00 - tomographic reconstruction (with PtychoShelves [2]) of the Niwire measured at 8383 eV
+
+Niwire8337_TIFF_delta_FBP_ram-lak_freqscl_1.00 - tomographic reconstruction (with PtychoShelves [2]) of the Niwire measured at 8337 eV
+
+angles_Niwire8383 - the angles of the tomographic scan at 8383 eV
+
+angles_Niwire8383 - the angles of the tomographic scan at 8337 eV
+
+ 
+
+[1] Wakonig, K., Stadler, H.-C., Odstrčil, M., Tsai, E. H. R., Diaz, A., Holler, M., Usov, I., Raabe, J., Menzel, A. & Guizar-Sicairos, M. (2020). PtychoShelves, a versatile high-level framework for high-performance analysis of ptychographic data. J. Appl. Cryst. 53, 574-586.
+
+[2] Michal Odstrčil, Mirko Holler, Jörg Raabe, and Manuel Guizar-Sicairos, ""Alignment methods for nanotomography with deep subpixel accuracy,"" Opt. Express 27, 36637-36652 (2019)",api,True,findable,0.0,0.0,0.0,0.0,1.0,2024-02-13T07:48:59.000Z,2024-02-13T07:48:59.000Z,cern.zenodo,cern,"Ptychography,Ptychographic X-Ray Computed Tomography,Spectral Ptychography,Resonant Ptychography,SWING beamline,SOLEIL synchrotron","[{'subject': 'Ptychography'}, {'subject': 'Ptychographic X-Ray Computed Tomography'}, {'subject': 'Spectral Ptychography'}, {'subject': 'Resonant Ptychography'}, {'subject': 'SWING beamline'}, {'subject': 'SOLEIL synchrotron'}]",,
+10.6084/m9.figshare.13323652,Additional file 2 of Impact of advance directives on the variability between intensivists in the decisions to forgo life-sustaining treatment,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 2. The two clinical scenarios (text).,mds,True,findable,0.0,0.0,33.0,1.0,0.0,2020-12-03T04:34:13.000Z,2020-12-03T04:34:15.000Z,figshare.ars,otjm,"Cell Biology,Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['35281 Bytes'],
+10.6084/m9.figshare.20221988,Additional file 7 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter case–control computed tomography study,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,Additional file 7: Univariate and multivariate analyses of variables associated with CBABY LUNG,mds,True,findable,0.0,0.0,27.0,1.0,0.0,2022-07-04T06:41:18.000Z,2022-07-04T06:41:19.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['15158 Bytes'],
+10.5281/zenodo.10423907,"Neuroimaging data related to the study: ""Dynamics of White Matter Architecture in Lexical Production among Middle-Aged Adults""",Zenodo,2024.0,en,Dataset,Creative Commons Attribution Non Commercial 4.0 International,"See the accompanying code repository
+
+Track-Weighted Imaging (TWI)
+
+
+
+TW_FA_Gaussian25_155subj.mif.gz (dim 121 x 152 x 121 x 155): Track-Weighted Fractional Anisotropic images (TW-FA) generated with 25 mm neighborhood weighting (per-track smoothing) in template space.
+
+155subj_FA_map.mif.gz (dim 128 x 128 x 88): Fractional Anistropic images (FA).
+
+wmfod_norm_up.mif.gz (dim 121 x 152 x 121 x 45): Study template derived from white matter fiber orientation distribution (FOD), normalized, and upsampled to 1.5 mm isotropic.
+
+SH_peaks_template.mif.gz (dim 121 x 152 x 121 x 9): Spherical Harmonics peaks derived from the study template (used to generate TOM and TOM trackings with TractSeg).
+
+
+Non-Negative Matrix Factorization (NMF)
+
+
+
+W.mat & H.mat: Solutions from NMF. The optimal solution found for this study is the one with 16 networks (i.e., in the 8th position in the mat files as there is a 2-step increment between solutions).
+
+Network_Parcellation_NNMF.nii: 3D volume containing the part-based solution derived from NMF (i.e., 16 spatially non-overlapping networks of structurally covarying white matter areas).
+
+Network_Parcellation_NNMF_cluster.nii: IDEM but only considering clusters of at least 25 connected voxels within each network (used to compute the overlap with TractSeg bundles).
+
+
+BRAIN VISUALIZATION
+
+For figure 2:
+
+
+
+TW_FA_Gaussian25_155subj_mean_mesh.obj: White Matter Mesh derived from the mean image (used with the surfice software).
+
+NMF_age_networks_composition.xlsx: Dataset containing the spatial, connectivity, and composite score used to determine the composition of each NMF-derived network.
+
+*_track_overlay.tck: The 6 Tractography files to overlay onto the mesh for visualizating the bundles most contributing to the middle-age-related NMF networks.
+
+
+For figure 3 & 4:
+
+
+
+TW_FA_Gaussian25_155subj_mean.nii: Mean TW-FA image across all subjects.
+
+TW_FA_Gaussian25_155subj_mean_mask_95.nii: Binary group mask containing only the voxels that had a non-null TW-FA value across at least 95% of subjects.
+
+*LC1_BSR_saliences.nii & *LC2_BSR_saliences.nii: Voxel-level salience map of the 1st and 2nd latent component (unthresholded; please note that only BSR +/- 2.58 signified a robust contribution in our study).
+
+NNMF_BSR_LC1.nii: Network-level salience map.
+
+*res & save_opts.mat: Partial Least Squares (PLS) results and parameters.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-09T11:30:32.000Z,2024-02-09T11:30:32.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.12270176,Additional file 4 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 4. Kaplan–Meier’s survival estimates of ICU survivors according to the mRS at ICU discharge.,mds,True,findable,0.0,0.0,33.0,0.0,0.0,2020-05-08T04:08:12.000Z,2020-05-08T04:08:13.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['18254 Bytes'],
+10.5281/zenodo.10654575,"Calculs de Puissance, de la Taille d'Échantillon et du Smallest Effect Size of Interest (SESOI)",Zenodo,2024.0,,InteractiveResource,Creative Commons Attribution 4.0 International,"Cet atelier à pour objectif d'expliquer pourquoi et comment conduire (a) un calcul de puissance, (b) un calcul de taille d'échantillon et (c) un calcul du Smallest Effect Size of Interest (SESOI). Une étude fictive nous permet d'illustrer ces concepts tout au long de l'atelier, notamment via l'utilisation du logiciel G*Power.
+
+Vous trouverez les ressources suivantes :
+
+
+
+L'enregistrement vidéo de l'atelier
+
+Le support .pdf qui intègre les ressources utilisées pour créer l'atelier et vous permettre d'aller plus loin dans cette réflexion",api,True,findable,0.0,0.0,0.0,0.0,1.0,2024-02-13T14:28:34.000Z,2024-02-13T14:28:34.000Z,cern.zenodo,cern,"Power analysis,Sample size,Smallest effect size of interest","[{'subject': 'Power analysis'}, {'subject': 'Sample size'}, {'subject': 'Smallest effect size of interest'}]",,
+10.6084/m9.figshare.12270182,Additional file 5 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,"Additional file 5. Stroke type, ICU admission Glasgow Coma Score and 1-year survival rates, according to inclusion period.",mds,True,findable,0.0,0.0,33.0,0.0,0.0,2020-05-08T04:08:12.000Z,2020-05-08T04:08:14.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['77613 Bytes'],
+10.5281/zenodo.10636065,Assessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GW,Zenodo,2024.0,,Dataset,Creative Commons Attribution 4.0 International,"This data set is a part of Supporting Info for our work entitled “Assessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GW” which is to be submitted to the Journal of Chemical Physics. In this data set, we provide the XYZ coordinates for the compounds studied in this work.",api,True,findable,0.0,0.0,0.0,0.0,1.0,2024-02-16T12:23:14.000Z,2024-02-16T12:23:15.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.14450781,Additional file 1 of Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders,figshare,2021.0,,Dataset,Creative Commons Attribution 4.0 International,Additional file 1: Supplementary Tables S1-S12. Table S1. Cohorts utilized in current study. Table S2. Pathogenicity predictions by gnomAD and GeVIR for each hnRNP. Table S3. Significant p values of two-way ANOVA between cell type and transcripts per million (TPM) for each NDD HNRNP’s GTEx data. Table S4. P values and fold change for scRNA data from developing human cortex. Table S5. Significant p values of two-way ANOVA between cell type and fold expression for each HNRNP. Table S6. De novo enrichment and CLUMP analyses of current cohort. Table S7. Phenotypes among HNRNP-related disorders. Table S8. Uncorrected p values for pairwise Fisher’s exact tests for each phenotype occurring in 20% of an HNRNP group. Table S9. Uncorrected p values for phenotype correlations between each HNRNP-related disorder. Table S10. Variants and phenotypes for HNRNPs with < 3 probands. Table S11. Probands with copy number variants. Table S12. Shared HPO terms with similarly presenting genetic disorders.,mds,True,findable,0.0,0.0,85.0,1.0,0.0,2021-04-20T03:46:13.000Z,2021-04-20T03:46:14.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['1217967 Bytes'],
+10.6084/m9.figshare.20221976,Additional file 3 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter case–control computed tomography study,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Missing data per variable,mds,True,findable,0.0,0.0,27.0,1.0,0.0,2022-07-04T06:41:09.000Z,2022-07-04T06:41:11.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['16378 Bytes'],
+10.6084/m9.figshare.12270167,Additional file 3 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,"Additional file 3. Patients characteristics and outcomes, according to the type of stroke.",mds,True,findable,0.0,0.0,33.0,0.0,0.0,2020-05-08T04:08:10.000Z,2020-05-08T04:08:11.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['25560 Bytes'],
+10.6084/m9.figshare.20221979,Additional file 4 of Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter case–control computed tomography study,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,Additional file 4: Sensitivity analysis,mds,True,findable,0.0,0.0,27.0,1.0,0.0,2022-07-04T06:41:11.000Z,2022-07-04T06:41:12.000Z,figshare.ars,otjm,"Medicine,Microbiology,FOS: Biological sciences,Cell Biology,Physiology,Immunology,FOS: Clinical medicine,Science Policy","[{'subject': 'Medicine'}, {'subject': 'Microbiology'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cell Biology'}, {'subject': 'Physiology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}]",['87438 Bytes'],
+10.6084/m9.figshare.12270152,Additional file 1 of One-year survival in acute stroke patients requiring mechanical ventilation: a multicenter cohort study,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Study flow diagram.,mds,True,findable,0.0,0.0,33.0,0.0,0.0,2020-05-08T04:08:00.000Z,2020-05-08T04:08:01.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Neuroscience,Biotechnology,Immunology,FOS: Clinical medicine,Biological Sciences not elsewhere classified,Science Policy,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Neuroscience'}, {'subject': 'Biotechnology'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Hematology'}]",['55095 Bytes'],
+10.6084/m9.figshare.14450793,Additional file 3 of Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders,figshare,2021.0,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Table S13. GenBank accession numbers.,mds,True,findable,0.0,0.0,85.0,1.0,0.0,2021-04-20T03:46:32.000Z,2021-04-20T03:46:34.000Z,figshare.ars,otjm,"Genetics,FOS: Biological sciences","[{'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}]",['4116100 Bytes'],
+10.6084/m9.figshare.19084110,Additional file 1 of Clinical outcomes after treatment with direct antiviral agents: beyond the virological response in patients with previous HCV-related decompensated cirrhosis,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,"Additional file 1: Table S1. Balance of baseline covariates following IPTW analysis according to DAA exposure. Table S2. Summary of non-liver related deaths by cause. Table S3. Summary of liver related deaths by cause. Table S4. Factors associated with HCC, all-cause mortality, and liver transplant in all 559 patients included for study. Table S5. Characteristics of hepatocellular carcinoma according to DAA exposure. Table S6. Incidence rates of hepatocellular carcinoma, all-cause mortality, liver-related mortality, non-liver-related mortality, and liver transplant in all 559 patients under study according to DAA exposure period and virological response status. Table S7. Incidence rates of hepatocellular carcinoma, all-cause mortality, liver-related mortality, non-liver-related mortality, and liver transplant in all 55 patients with a Meld score>20 or Child-Pugh score C according to DAA exposure period and virological response status.",mds,True,findable,0.0,0.0,16.0,1.0,0.0,2022-01-28T04:30:56.000Z,2022-01-28T04:30:57.000Z,figshare.ars,otjm,"Space Science,Medicine,Biotechnology,Chemical Sciences not elsewhere classified,Immunology,FOS: Clinical medicine,Cancer,Science Policy,Infectious Diseases,FOS: Health sciences,Virology,Computational Biology","[{'subject': 'Space Science'}, {'subject': 'Medicine'}, {'subject': 'Biotechnology'}, {'subject': 'Chemical Sciences not elsewhere classified'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Infectious Diseases'}, {'subject': 'FOS: Health sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Virology'}, {'subject': 'Computational Biology'}]",['48807 Bytes'],
+10.6084/m9.figshare.13323649,Additional file 1 of Impact of advance directives on the variability between intensivists in the decisions to forgo life-sustaining treatment,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 1. Characteristics of the 8 patients who wrote advance directives (table).,mds,True,findable,0.0,0.0,33.0,1.0,0.0,2020-12-03T04:33:42.000Z,2020-12-03T04:33:47.000Z,figshare.ars,otjm,"Cell Biology,Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Cell Biology'}, {'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['36258 Bytes'],
+10.6084/m9.figshare.12886138,Additional file 4 of Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 4: Table S2. Sensitivity analysis restricted to the 327 patients with an NRS pain score > 3 on ICU day 1.,mds,True,findable,0.0,0.0,1.0,1.0,0.0,2020-08-28T04:02:53.000Z,2020-08-28T04:02:54.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",['14370 Bytes'],
+10.57745/krycyy,IEEE 34 Nodes Test Feeder Simulation Data for High Impedance Fault Detection and Localization,Recherche Data Gouv,2024.0,,Dataset,,"The detection and localization of high impedance faults within distribution power networks is one of the biggest challenges in the field of power grid protection. Over the past two decades, numerous approaches for high-impedance fault detection and localization have been proposed to address this challenge. However, a substantial portion of these works tested their approaches using private real-world or simulation data characterized by diverse power system structures and parameters. This heterogeneity poses a substantial impediment to comprehensive performance evaluation and meaningful comparisons.To fill the blank of benchmark data, we simulate a wildly used power system-the IEEE 34-node test feeder- with the introduction of high-impedance fault through Matlab/Simulink. The resulting dataset contains various fault locations distributed across the power grid, two operational disturbances: load switching and capacitor switching, and a normal state with varying operation conditions. Furthermore, the simulation incorporates four distinct high-impedance fault settings commonly utilized in existing studies. The voltage and current signals are collected at all 34 nodes as well as the high-impedance fault module to provide comprehensive system information. Consequently, we hereby make this dataset accessible to researchers engaged in high-impedance fault detection and localization, relieving them from the burden of creating their own datasets and enabling reasonable comparisons of their methodologies with those of their peers.",mds,True,findable,12.0,0.0,0.0,0.0,0.0,2024-01-29T08:21:58.000Z,2024-02-13T06:57:26.000Z,rdg.prod,rdg,,,,
+10.6084/m9.figshare.12291698,Additional file 2 of Association of helicopter transportation and improved mortality for patients with major trauma in the northern French Alps trauma system: an observational study based on the TRENAU registry,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 2. Comparison between all groups of transportation.,mds,True,findable,0.0,0.0,16.0,0.0,0.0,2020-05-13T03:41:53.000Z,2020-05-13T03:41:54.000Z,figshare.ars,otjm,"Medicine,Environmental Sciences not elsewhere classified,Sociology,FOS: Sociology,Biological Sciences not elsewhere classified,Cancer,Science Policy,Mental Health","[{'subject': 'Medicine'}, {'subject': 'Environmental Sciences not elsewhere classified'}, {'subject': 'Sociology'}, {'subject': 'FOS: Sociology', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Cancer'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['16462 Bytes'],
+10.6084/m9.figshare.20222461,Additional file 1 of Ten actions to achieve gender equity among intensivists: the French Society of Intensive Care (FICS) model,figshare,2022.0,,Text,Creative Commons Attribution 4.0 International,"Additional file 1. This a presentation leaflet of the working group FEMMIR (Femmes médecins en médecine intensive réanimation) including missions, actions and demands of the group.",mds,True,findable,0.0,0.0,39.0,1.0,0.0,2022-07-04T09:24:13.000Z,2022-07-04T09:24:14.000Z,figshare.ars,otjm,"Biotechnology,Biological Sciences not elsewhere classified,Science Policy,Mental Health","[{'subject': 'Biotechnology'}, {'subject': 'Biological Sciences not elsewhere classified'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}]",['958281 Bytes'],
+10.5281/zenodo.10636066,Assessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GW,Zenodo,2024.0,,Dataset,Creative Commons Attribution 4.0 International,"This data set is a part of Supporting Info for our work entitled “Assessing the accuracy of excited-state geometries through optimal tuning of TD-DFT with GW” which is to be submitted to the Journal of Chemical Physics. In this data set, we provide the XYZ coordinates for the compounds studied in this work.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-16T12:23:14.000Z,2024-02-16T12:23:14.000Z,cern.zenodo,cern,,,,
+10.6084/m9.figshare.12886132,Additional file 3 of Epidural analgesia in ICU chest trauma patients with fractured ribs: retrospective study of pain control and intubation requirements,figshare,2020.0,,Text,Creative Commons Attribution 4.0 International,Additional file 3: Table S1. Sensitivity analysis restricted to the 526 patients in ICUs where at least 1 study patient received epidural analgesia.,mds,True,findable,0.0,0.0,1.0,1.0,0.0,2020-08-28T04:02:52.000Z,2020-08-28T04:02:55.000Z,figshare.ars,otjm,"Medicine,Cell Biology,Genetics,FOS: Biological sciences,Neuroscience,Immunology,FOS: Clinical medicine,Science Policy,Mental Health,Hematology","[{'subject': 'Medicine'}, {'subject': 'Cell Biology'}, {'subject': 'Genetics'}, {'subject': 'FOS: Biological sciences', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Neuroscience'}, {'subject': 'Immunology'}, {'subject': 'FOS: Clinical medicine', 'schemeUri': 'http://www.oecd.org/science/inno/38235147.pdf', 'subjectScheme': 'Fields of Science and Technology (FOS)'}, {'subject': 'Science Policy'}, {'subject': 'Mental Health'}, {'subject': 'Hematology'}]",['14213 Bytes'],