cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22107124.v1
title: Supplementary Table 2 from MRPS36 provides a structural link in the eukaryotic 2-oxoglutarate dehydrogenase complex

description: Supplementary Table 2
DOI: 10.6084/m9.figshare.22107127
title: Supplementary Table 1 from MRPS36 provides a structural link in the eukaryotic 2-oxoglutarate dehydrogenase complex

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.22107127.v1
title: Supplementary Table 1 from MRPS36 provides a structural link in the eukaryotic 2-oxoglutarate dehydrogenase complex

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.22107286
title: Supplementary Material 5: from Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist

description: System of equations for the single-strain model
DOI: 10.6084/m9.figshare.22107286.v1
title: Supplementary Material 5: from Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist

description: System of equations for the single-strain model
DOI: 10.6084/m9.figshare.22107194
title: Raw Data

description: data calculation
DOI: 10.6084/m9.figshare.22107295.v1
title: Supplementary Material 6: from Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist

description: System of equations for the specialization model
DOI: 10.6084/m9.figshare.22107194.v1
title: Raw Data

description: data calculation
DOI: 10.6084/m9.figshare.22107295
title: Supplementary Material 6: from Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist

description: System of equations for the specialization model
DOI: 10.6084/m9.figshare.22107209
title: Datasets

description: dataset
DOI: 10.6084/m9.figshare.22107209.v1
title: Inversion codes

description: Inversion codes used in Li et al., Global Biogeochemical Cycles
DOI: 10.6084/m9.figshare.22107209.v2
title: Datasets

description: dataset
DOI: 10.6084/m9.figshare.21080470.v1
title: Li et al Changjiang River supporting_tables.pdf

description: Sr-Mg isotopic compositions and major ion concentrations of Changjiang River samples
DOI: 10.6084/m9.figshare.21080470.v2
title: Li et al Changjiang River supporting data

description: Supporting data of Li et al., Global Biogeochemical cycles
DOI: 10.34740/kaggle/dsv/5007299
title: NSE-Scripts-Data
DOI: 10.6084/m9.figshare.19474316.v4
title: Fern Tree of Life (FTOL) input data

description: The data included here are used in a pipeline that (mostly) automatically generates a maximally sampled fern phylogenetic tree based on plastid sequences in GenBank (https://github.com/fernphy/ftol).<br> <br> The first step is to download the latest release of GenBank data from the NCBI GenBank FTP site (https://ftp.ncbi.nlm.nih.gov/genbank/) and use it to create a local database of fern sequences. This is done with custom R scripts contained in https://github.com/fernphy/ftol, in particular setup_gb.R (https://github.com/fernphy/ftol/blob/main/R/setup_gb.R).<br> <br> Next, a set of reference FASTA files for 79 target loci (one per locus; ref_aln.tar.gz) is generated. These include 77 protein-coding genes based on a list of 83 genes (Wei et al. 2017) that was filtered to only genes that show no evidence of duplication, plus two spacer regions (trnL-trnF and rps4-trnS). Each FASTA file in ref_aln.tar.gz includes one representative (longest) sequence per avaialable fern genus. This is done with prep_ref_seqs_plan.R (https://github.com/fernphy/ftol/blob/main/prep_ref_seqs_plan.R).<br> <br> Sequences matching the target loci are then extracted from each accession in the local database using the FASTA files contained in ref_aln.tar.gz as references with the “Reference_Blast_Extract.py” script of superCRUNCH (Portik and Wiens 2020).<br> <br> The extracted sequences are aligned with MAFFT (Katoh et al. 2002), phylogenetic analysis is done using IQ-TREE (Nguyen et al. 2015) and divergence times estimated with treePL (Smith and O’Meara 2012).<br> <br> For additional methodological details, see:<br> <br> Nitta JH, Schuettpelz E, Ramírez-Barahona S, Iwasaki W. 2022. An open and continuously updated fern tree of life. Frontiers in Plant Sciences 13 https://doi.org/10.3389/fpls.2022.909768.<br>
DOI: 10.6084/m9.figshare.22107597.v1
title: Simulink.tgz from Realization of Bullard’s disc dynamo

description: Simulink command files, numerical data files, gnuplot command files, figures
DOI: 10.6084/m9.figshare.22107597
title: Simulink.tgz from Realization of Bullard’s disc dynamo

description: Simulink command files, numerical data files, gnuplot command files, figures
DOI: 10.6084/m9.figshare.22107600.v1
title: ExpDat.tgz from Realization of Bullard’s disc dynamo

description: Experimental data, gnuplot command files, figures
DOI: 10.6084/m9.figshare.22107600
title: ExpDat.tgz from Realization of Bullard’s disc dynamo

description: Experimental data, gnuplot command files, figures
DOI: 10.6084/m9.figshare.22099781
title: File S1 .xlsx

description: Sequence confirmation (LC-MS/MS) of six repeat region of spider dragline silk (MaSp1), expressed in tobacco by encoding in nucleus and plastids. The total soluble protein from MaSp1nuc and MaSp1pla were His-trap purified using methods previously described 18, and resolved on SDS-PAGE gels (4-20% Mini-PROTEAN TGX, BioRad). Bands corresponding to 25 kDa and 50 kDa for MaSp1pla and 25 kDa for MaSp1nuc were excised, destained and digested with TPCK-treated trypsin (Worthington Biochemical Corporation). The resulting peptides were separated on a reversed-phase nanospray column (NTCC-360/75-3-105, NIKKYO technos) and then applied to a Q Exactive Hybrid Quadrupole-Orbitrap mass spectrometer (Thermo Fisher Scientific). MS and MS/MS data were obtained using the TOP10 method. The acquired data were processed using Proteome Discoverer 2.4 (Thermo Fisher Scientific) with integrated Mascot (version 2.7, Matrix Science). The MSMS data were searched against the NCBIprot database (Taxonomy: Other green plants) and the in-house database including the MaSp1 protein using the following parameters: enzyme = trypsin; maximum missed cleavages = 3; variable modifications = Acetyl (Protein N-term), Gln- &gt; pyro-Glu (N-term Q), Oxidation (M), Propionamide (C); product mass tolerance = ± 15 ppm; product mass tolerance = ± 30 milli mass unit; instrument type = ESI-TRAP.
DOI: 10.6084/m9.figshare.22099781.v1
title: File S1 .xlsx

description: Sequence confirmation (LC-MS/MS) of six repeat region of spider dragline silk (MaSp1), expressed in tobacco by encoding in nucleus and plastids. The total soluble protein from MaSp1nuc and MaSp1pla were His-trap purified using methods previously described 18, and resolved on SDS-PAGE gels (4-20% Mini-PROTEAN TGX, BioRad). Bands corresponding to 25 kDa and 50 kDa for MaSp1pla and 25 kDa for MaSp1nuc were excised, destained and digested with TPCK-treated trypsin (Worthington Biochemical Corporation). The resulting peptides were separated on a reversed-phase nanospray column (NTCC-360/75-3-105, NIKKYO technos) and then applied to a Q Exactive Hybrid Quadrupole-Orbitrap mass spectrometer (Thermo Fisher Scientific). MS and MS/MS data were obtained using the TOP10 method. The acquired data were processed using Proteome Discoverer 2.4 (Thermo Fisher Scientific) with integrated Mascot (version 2.7, Matrix Science). The MSMS data were searched against the NCBIprot database (Taxonomy: Other green plants) and the in-house database including the MaSp1 protein using the following parameters: enzyme = trypsin; maximum missed cleavages = 3; variable modifications = Acetyl (Protein N-term), Gln- &gt; pyro-Glu (N-term Q), Oxidation (M), Propionamide (C); product mass tolerance = ± 15 ppm; product mass tolerance = ± 30 milli mass unit; instrument type = ESI-TRAP.
DOI: 10.5281/zenodo.7645126
title: Table S1 Metadata and antimicrobial data

description: High prevalence of <em>bla</em><sub>CTX-M-15</sub> type extended spectrum beta-lactamases in Gambian Hooded Vultures (<em>Necrosyrtes monachus</em>) – a threatened species with substantial human interaction Table S1 Metadata and antimicrobial data for all <em>E.coli</em> and <em>K. pneumoniae</em> in this study.
DOI: 10.5281/zenodo.7645125
title: Table S1 Metadata and antimicrobial data

description: High prevalence of <em>bla</em><sub>CTX-M-15</sub> type extended spectrum beta-lactamases in Gambian Hooded Vultures (<em>Necrosyrtes monachus</em>) – a threatened species with substantial human interaction Table S1 Metadata and antimicrobial data for all <em>E.coli</em> and <em>K. pneumoniae</em> in this study.
DOI: 10.6084/m9.figshare.22107611
title: Evaluating Imbrication of Gravels_Qin

description: The 'Gen_Imb_Run.m' and 'Gen_Imb.m' are used to generate artificial gravel surfaces; The 'IncIndex2D' is used to calculate the inclination index; The 'IncIndex2D_RunNanxi' and 'IncIndex2D_RunSmart' used the 'IncIndex2D' code to calculate the orientation of gravel surfaces with data attached. The 'Lineardetr.m' is used to detrend a gravel surface; The 'MyRead' and 'ReadData' are used to read the data file; The 'Smart_wai_a,' 'Smart_wai_b,' and 'P06DEM_1cm-unit1cm' are gravel surfaces data.
DOI: 10.6084/m9.figshare.22087760.v1
title: Fig 2e Experiment 6 Radial Deposit Profiles

description: Radial deposit topography profiles for shallow water experiment 6 shown in Figure 2e.
DOI: 10.5281/zenodo.7645179
title: GreenBench custom seed corpus

description: The uploaded file is a seed corpus used for running fuzzer benchmarking experiment as part of the GreenBench paper
DOI: 10.5281/zenodo.7645178
title: GreenBench custom seed corpus

description: The uploaded file is a seed corpus used for running fuzzer benchmarking experiment as part of the GreenBench paper
DOI: 10.5281/zenodo.7278689
title: GNSS position time series used in the manuscript submitted to GJI-22-1008

description: These are the raw GNSS time series files (in .neu format) we used to derive the velocity solution in the manuscript submitted to JGR-solid earth (2022JB025725). These data are not allowed to use without permission.
DOI: 10.5281/zenodo.7645194
title: RAW DATA - An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar - RAW DATA

description: Raw data (original images, labelled masks) from "An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar"; https://doi.org/10.1016/j.cmpb.2022.107321
DOI: 10.5281/zenodo.7645193
title: RAW DATA - An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar - RAW DATA

description: Raw data (original images, labelled masks) from "An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar"; https://doi.org/10.1016/j.cmpb.2022.107321
DOI: 10.6084/m9.figshare.22106528
title: Original bacterial data of L. chuanxiong and soil

description: These data are fastq files of high-throughput sequencing of stem nodes, rhizomes and soil of Ligusticum chuanxiong under different propagation modes.
DOI: 10.6084/m9.figshare.22106528.v1
title: Original bacterial data of L. chuanxiong and soil

description: These data are fastq files of high-throughput sequencing of stem nodes, rhizomes and soil of Ligusticum chuanxiong under different propagation modes.
DOI: 10.5519/qd.w7jonypf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (69 records)
DOI: 10.6084/m9.figshare.18865673
title: Original digital images for the manuscript "Speed of earthquake ruptures: nucleation of supershear, stability regions and controlling factors".

description: The original digital images for results in Fig.2 are provided as Fault-stress.rar, respectively. The original digital images for results in Fig.S5 are provided as S5-a/b/c.rar. The source data for the figures in the manuscript are provided in Source Data.xlsx.
DOI: 10.15161/oar.it/76935
title: Dataset related to article "Virtual Feedback for Arm Motor Function Rehabilitation after Stroke: A Randomized Controlled Trial"

description: Dataset “MAVASI_clinici_124 pz”: Colonne A –C: ID del paziente Colonne D – K: variabili demografiche Colonna L: gruppo intervento o gruppo controllo Colonne M – AN: variabili cliniche pre e post intervento Colonne AO: terapista che ha effettuato l’intervento Dataset “Mavasi_kinematics_khymeia”: Colonne A –C: ID del paziente Colonne D – H: variabili demografiche Colonne: I - AV: variabili cinematiche pre intervento Colonne AW – CJ: variabili cinematiche post intervento
DOI: 10.15161/oar.it/76934
title: Dataset related to article "Virtual Feedback for Arm Motor Function Rehabilitation after Stroke: A Randomized Controlled Trial"

description: Dataset “MAVASI_clinici_124 pz”: Colonne A –C: ID del paziente Colonne D – K: variabili demografiche Colonna L: gruppo intervento o gruppo controllo Colonne M – AN: variabili cliniche pre e post intervento Colonne AO: terapista che ha effettuato l’intervento Dataset “Mavasi_kinematics_khymeia”: Colonne A –C: ID del paziente Colonne D – H: variabili demografiche Colonne: I - AV: variabili cinematiche pre intervento Colonne AW – CJ: variabili cinematiche post intervento
DOI: 10.15161/oar.it/76933
title: Dataset related to article "Biofeedback as an Adjunctive Treatment for Post-stroke Dysphagia: A Pilot-Randomized Controlled Trial"

description: Nel file Excel con i raw data sono presenti le caratteristiche demografiche del campione, e per ogni paziente se sia stato assegnato al trattamento sperimentale o di controllo (codificati come 1;0). Si trovano inoltre i punteggi ai vari test che il paziente ha ottenuto nei 3 momenti di valutazione (v1=baseline; v2=valutazione post trattamento; v3=follow up) e per le diverse consistenze provate (solido, semisolido, liquido). Le scale nominate nel dataset sono: PAS-Penetration Aspiration Scale); Pooling Score (suddiviso in P-score e PSCA); FOIS (Functional Oral Intake Scale). Si riporta inoltre la presenza o assenza di cannula tracheale e nutrizione enterale (1;0).
DOI: 10.15161/oar.it/76932
title: Dataset related to article "Biofeedback as an Adjunctive Treatment for Post-stroke Dysphagia: A Pilot-Randomized Controlled Trial"

description: Nel file Excel con i raw data sono presenti le caratteristiche demografiche del campione, e per ogni paziente se sia stato assegnato al trattamento sperimentale o di controllo (codificati come 1;0). Si trovano inoltre i punteggi ai vari test che il paziente ha ottenuto nei 3 momenti di valutazione (v1=baseline; v2=valutazione post trattamento; v3=follow up) e per le diverse consistenze provate (solido, semisolido, liquido). Le scale nominate nel dataset sono: PAS-Penetration Aspiration Scale); Pooling Score (suddiviso in P-score e PSCA); FOIS (Functional Oral Intake Scale). Si riporta inoltre la presenza o assenza di cannula tracheale e nutrizione enterale (1;0).
DOI: 10.15161/oar.it/76929
title: Dataset related to article "Financial Decision-Making in Neurological Patients"

description: Il dataset contiene i seguenti dati: colonna B: gruppo di appartenenza di ciascun soggetto (controllo vs diagnosi di malattie neurologiche specifiche); colonne C, D, E: i dati sociodemografici dei partecipanti, riportati nell’articolo in Tabella 1; colonna F: punteggi al test MMSE corretti secondo i dati normativi, riportati in tabella 1; colonne dalla G alla M: punteggi ottenuti nei vari domini del test NADL-F short, utilizzati per le analisi riportate nelle tabella 2, 3 e 4.
DOI: 10.15161/oar.it/76928
title: Dataset related to article "Financial Decision-Making in Neurological Patients"

description: Il dataset contiene i seguenti dati: colonna B: gruppo di appartenenza di ciascun soggetto (controllo vs diagnosi di malattie neurologiche specifiche); colonne C, D, E: i dati sociodemografici dei partecipanti, riportati nell’articolo in Tabella 1; colonna F: punteggi al test MMSE corretti secondo i dati normativi, riportati in tabella 1; colonne dalla G alla M: punteggi ottenuti nei vari domini del test NADL-F short, utilizzati per le analisi riportate nelle tabella 2, 3 e 4.
DOI: 10.15161/oar.it/76927
title: Dataset related to article "Neurocognitive correlates of numerical abilities in Parkinson's disease"

description: Il dataset contiene i seguenti dati: colonna B: gruppo di appartenenza di ciascun soggetto (controllo vs malattia di Parkinson); colonne C, D, E, F: i dati sociodemografici dei partecipanti, riportati nell’articolo in tabella 1; colonne G, H, I: punteggi alle scale specifiche per la malattia di Parkinson (PD-CFRS, UPDRS-III, Hoehn&Yarr) riportati in tabella 1; colonne J, K L: punteggi alle due scale di funzionamento nella vita quotidiana (ADL e IADL) e al test di screening MMSE, riportati in tabella 1; colonne dalla M alla AM: punteggi ottenuti nelle varie sezioni e relativi sub-test del test NADL, utilizzati nelle analisi riportate nelle tabelle 2 e 3; colonne dalla AN alla BF: punteggi ai test neuropsicologici somministrati ai pazienti con malattia di Parkinson, utilizzati nelle analisi riportate in tabella 3; colonne dalla BG alla BX: indici di volumetria cerebrale utilizzati nelle analisi riportate in tabella 2.
DOI: 10.15161/oar.it/76926
title: Dataset related to article "Neurocognitive correlates of numerical abilities in Parkinson's disease"

description: Il dataset contiene i seguenti dati: colonna B: gruppo di appartenenza di ciascun soggetto (controllo vs malattia di Parkinson); colonne C, D, E, F: i dati sociodemografici dei partecipanti, riportati nell’articolo in tabella 1; colonne G, H, I: punteggi alle scale specifiche per la malattia di Parkinson (PD-CFRS, UPDRS-III, Hoehn&Yarr) riportati in tabella 1; colonne J, K L: punteggi alle due scale di funzionamento nella vita quotidiana (ADL e IADL) e al test di screening MMSE, riportati in tabella 1; colonne dalla M alla AM: punteggi ottenuti nelle varie sezioni e relativi sub-test del test NADL, utilizzati nelle analisi riportate nelle tabelle 2 e 3; colonne dalla AN alla BF: punteggi ai test neuropsicologici somministrati ai pazienti con malattia di Parkinson, utilizzati nelle analisi riportate in tabella 3; colonne dalla BG alla BX: indici di volumetria cerebrale utilizzati nelle analisi riportate in tabella 2.
DOI: 10.15151/esrf-es-1018421175
title: Austrian Crystallographic Diffraction Consortium

description: This proposed Austrian Crystallographic.... TO BE FILLED IN
DOI: 10.15151/esrf-es-1014669883
title: Structure of metalloproteins, membrane proteins, filamentous sarcomer proteins, and virus particles

description: Our work focusses on biological nitrogen fixation by Nitrogenase, on metalloenzymes and integral membrane proteins of bacterial and archaeal respiratory systems (Andrade/Einsle/Wohlwend), the working mechanism and regulation of medically relevant membrane proteins and complexes and their defects leading to pathologies (Hunte), bacterial antibiotic resistance factors and viral and bacterial proteins bound to their targets or inhibitors, and their interactions with glycans (Stehle), human S100 proteins involved in nutritional immunity, USP18 enforcing the endogenous antiviral interferon response, and the respiratory complex NQR of V. cholerae (Fritz), LDL lipoprotein particles with low resolution data collection and phasing to find envelopes of parts of membrane proteins escaping conventional methods (Baumstark/Lunin), and on multi-domain components of the sarcomeric filamentous protein titin and their binding to the E3 ubiquitin ligase MuRF1 and the central myosin rod-domain (Mayans).
DOI: 10.15151/esrf-es-1035582940
title: Kinetics of He bubbles growth in W(110): impact of W temperature during irradiation and He incident energy

description: Irradiation of the first wall tungsten (W) materials by He is a crucial parameter to consider for the application of nuclear fusion to energy production, with one major consequence being the modification of the cristalline structure, along with formation and growth of He bubbles under the W surface. Complementary to post-mortem TEM and GISAXS analysis, this experiment allows the observation of the kinetics and dynamics of the He bubbles growth by in situ GISAXS measurements, along with characterization of their shape (e.g. faceting) from the form factor and the spatial distribution for the interference peak position. GISAXS measurements are complemented with GIXD to estimate the strain field induced by the bubbles in the subsurface region of the W crystal. For this proposal, we aim at getting closer to the experimental conditions in tokamaks, by studying the impact of W temperature during He exposure and incident He energies below/above the displacement energy threshold of W by He.
DOI: 10.25505/fiz.icsd.cc28p2hk
title: CSD 2105628: Experimental Crystal Structure Determination

description: Related Article: Ian Colliard, Jessica C. Brown, May Nyman|2022|Inorg.Chem.|62|1891|doi:10.1021/acs.inorgchem.2c01309
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc28p2mp
title: CSD 2105632: Experimental Crystal Structure Determination

description: Related Article: Ian Colliard, Jessica C. Brown, May Nyman|2022|Inorg.Chem.|62|1891|doi:10.1021/acs.inorgchem.2c01309
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21541602
title: A corpus of machine-annotated incident reports of medication errors

description: <strong>A corpus of machine-annotated incident reports of medication errors</strong> <br> Our dataset contains 478,175 named entities related to medication errors and also differentiates between incident types by recognising discrepancies between what was intended and what actually occurred. <br> When using this dataset, one should also cite the following original data source: Medical Adverse Event Information Collection Project [Iryō jiko jōhō shūshū-tō jigyō] Japan Council for Quality Health Care; 2022 [Available from: https://www.med-safe.jp/index.html.]
DOI: 10.6084/m9.figshare.21541602.v1
title: AI_extracted_incidents.xlsx

description: <strong>A corpus of machine-annotated incident reports of medication errors</strong> <br> Our dataset contains 478,175 named entities related to medication errors and also differentiates between incident types by recognising discrepancies between what was intended and what actually occurred. <br> When using this dataset, one should also cite the following original data source: Medical Adverse Event Information Collection Project [Iryō jiko jōhō shūshū-tō jigyō] Japan Council for Quality Health Care; 2022 [Available from: https://www.med-safe.jp/index.html.]
DOI: 10.5281/zenodo.7645316
title: Solidity Smart Contract

description: Dataset2: manual labeled smart contracts with Reentrancy, Unchecked Call, and TxOrigin vulnerabilities.<br> Dataset3: real-world smart contracts with Reentrancy, Unchecked Call, and TxOrigin vulnerabilities.
DOI: 10.5281/zenodo.7645315
title: Solidity Smart Contract

description: Dataset2: manual labeled smart contracts with Reentrancy, Unchecked Call, and TxOrigin vulnerabilities.<br> Dataset3: real-world smart contracts with Reentrancy, Unchecked Call, and TxOrigin vulnerabilities.