cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gv33tgvt5f.1
title: Ridgecrest, CA seismic velocity models

description: This data set contains models of seismic (compressional- and shear-wave) velocity structure for the region surrounding the 2019 Ridgecrest, CA earthquake pair. These models were derived via traveltime tomography with the aftershock catalog that accompanies this data set (doi: 10.17632/x8v5wkbj6r.1). The models are discretized on a regular grid in geographical coordinates and shared in a single CSV file. The first three columns indicate the spatial position of the model parameters and the last two columns are the compressional- (or P-) and shear- (or S-) wave velocities in kilometers per second.
DOI: 10.17632/vzkpkmjbyd.1
title: Samidurai et al. Original WBs

description: Original Western Blots for Figures 3C, 4A, 4D, 6B, 6C, 6D, 7C, 8A, 8B, 8C of main manuscript and Figure S3.
DOI: 10.17632/kyx4fm5c82.1
title: Vitiligo & MetS
DOI: 10.6084/m9.figshare.13325213
title: Predector - supplementary material

description: All supplementary material and full resolution figures for the Predector pipeline manuscript.<br><b>Figure 1:</b> UpSet plot showing predictions of signal peptides, transmembrane domains, and effector-like properties for all known effectors in the training dataset (N=125). Rows indicate sets of proteins predicted to have a property related to effector prediction (e.g. a signal peptide), with the horizontal bar chart indicating set size. Columns indicate where the horizontal sets intersect with each other, where the vertical bar-chart indicates the number of proteins in that intersection. For clarity, intersections with only 1 member have been excluded, the full plot is presented in supplementary figure 1.<br><br><b>Figure 2:</b> A violin plot showing the distributions of Predector effector ranking scores for each class in the test and training datasets. The effectors consist of experimentally validated fungal effector sequences. “Secreted” and “non-secreted” proteins are manually annotated proteins from the SwissProt database. Proteomes consist of the complete predicted proteomes from 10 well studied fungi (Supplementary table 2). The number of proteins represented by each violin are indicated on the x-axis.<br><br><b>Figure 3:</b> Comparing the scores of Predector with EffectorP versions 1 and 2 for proteins in the testing dataset. Scatter plots in the lower-left corner indicate comparisons of predictive scores between methods, with predicted secreted proteins (any signal peptide and fewer than two TM domains predicted) indicated in yellow, and non-secreted proteins indicated in blue. Density plots along the diagonal indicate distributions of the full test dataset versus predictive scores for each method (indicated along the x-axis), also coloured by secretion prediction as before (Note: there are far more non-secreted than secreted proteins in the dataset). Scatter plots in the top-right corner indicate score comparisons between methods for confirmed effectors, coloured by whether they have been predicted as secreted (criteria as above), or additionally predicted by EffectorP versions 1 or 2. Two proteins that are misclassified by a Predector score &gt; 0 are labelled in the top-right subplot.<br><br><b>Supplementary Table 1</b>: Examples of confirmed fungal plant pathogenicity effector proteins that do not exhibit the commonly targeted protein properties of low-molecular weight, cysteine-richness and presence of classical N-terminal secretion signal peptide.<br><b>Supplementary Table 2</b>. Datasets used for training and evaluation.<br><b>Supplementary Table 3</b>. Weights assigned for manual scores. Description of parameters used to calculate combined Predector scores, based on weight-adjusted values. Individual scores were determined by multiplying the value by weight, and the combined Predector score was calculated from the sum of all individual scores.<br><b>Supplementary Table 4</b>. Extended model evaluation and statistics.<br><br>The supplementary figures document contains its own documentation.<br><br>
DOI: 10.6084/m9.figshare.13325213.v1
title: Predector - supplementary material

description: All supplementary material and full resolution figures for the Predector pipeline manuscript.<br><b>Figure 1:</b> UpSet plot showing predictions of signal peptides, transmembrane domains, and effector-like properties for all known effectors in the training dataset (N=125). Rows indicate sets of proteins predicted to have a property related to effector prediction (e.g. a signal peptide), with the horizontal bar chart indicating set size. Columns indicate where the horizontal sets intersect with each other, where the vertical bar-chart indicates the number of proteins in that intersection. For clarity, intersections with only 1 member have been excluded, the full plot is presented in supplementary figure 1.<br><br><b>Figure 2:</b> A violin plot showing the distributions of Predector effector ranking scores for each class in the test and training datasets. The effectors consist of experimentally validated fungal effector sequences. “Secreted” and “non-secreted” proteins are manually annotated proteins from the SwissProt database. Proteomes consist of the complete predicted proteomes from 10 well studied fungi (Supplementary table 2). The number of proteins represented by each violin are indicated on the x-axis.<br><br><b>Figure 3:</b> Comparing the scores of Predector with EffectorP versions 1 and 2 for proteins in the testing dataset. Scatter plots in the lower-left corner indicate comparisons of predictive scores between methods, with predicted secreted proteins (any signal peptide and fewer than two TM domains predicted) indicated in yellow, and non-secreted proteins indicated in blue. Density plots along the diagonal indicate distributions of the full test dataset versus predictive scores for each method (indicated along the x-axis), also coloured by secretion prediction as before (Note: there are far more non-secreted than secreted proteins in the dataset). Scatter plots in the top-right corner indicate score comparisons between methods for confirmed effectors, coloured by whether they have been predicted as secreted (criteria as above), or additionally predicted by EffectorP versions 1 or 2. Two proteins that are misclassified by a Predector score &gt; 0 are labelled in the top-right subplot.<br><br><b>Supplementary Table 1</b>: Examples of confirmed fungal plant pathogenicity effector proteins that do not exhibit the commonly targeted protein properties of low-molecular weight, cysteine-richness and presence of classical N-terminal secretion signal peptide.<br><b>Supplementary Table 2</b>. Datasets used for training and evaluation.<br><b>Supplementary Table 3</b>. Weights assigned for manual scores. Description of parameters used to calculate combined Predector scores, based on weight-adjusted values. Individual scores were determined by multiplying the value by weight, and the combined Predector score was calculated from the sum of all individual scores.<br><b>Supplementary Table 4</b>. Extended model evaluation and statistics.<br><br>The supplementary figures document contains its own documentation.<br><br>
DOI: 10.17632/x8v5wkbj6r.1
title: 2019 Ridgecrest, CA earthquake aftershock catalog

description: This data set is a catalog of hypocenter coordinates for aftershocks from the sequence following the 2019 M6.4 and M7.1 Ridgecrest, CA earthquake pair. This catalog was derived from raw seismic waveform data recorded by 152 seismic sensors using automated processing procedures. The catalog spans four months (1 June through 30 September 2019) starting about one month before the mainshocks and comprises roughly 95000 events.
DOI: 10.17632/twj8ft95j5.2
title: Genome Oligopaint via Local Denaturation Fluorescence in Situ Hybridization (GOLD FISH)

description: Raw imaging data.
DOI: 10.17632/8wx2hd5twc.1
title: Clinicopathologic characterization of enfortumab vedotin-associated cutaneous toxicity in patients with urothelial carcinoma

description: Supplemental Figures for the article accepted to JAAD
DOI: 10.17632/vpj7vjkz86.1
title: supplementary materials: Gentamicin sponge for anti-infection, a controversial old topic and preliminary exploration of the solution, in vitro and in vivo experiments

description: supplementary materials: Gentamicin sponge for anti-infection, a controversial old topic and preliminary exploration of the solution, in vitro and in vivo experiments. abstract: Although gentamicin sponge is approved for preventing or treating surgical infection in many countries, the effectiveness of it has still been controversial. Our study was to construct drug-loading and drug-release quantitative equation of gentamicin sponge, in addition, obtain the wound infection prevented and treated scheme of gentamicin sponge. Firstly, sponge was cut into 1×1×0.5cm size and immersed into 40mg/ml, 16mg/ml, 8mg/ml, 4mg/ml, 1.6mg/ml, 0.8mg/ml or 0mg/ml gentamicin solution to evaluate gentamicin-loading of sponge. Secondly, different air-dried gentamicin-saturated sponge was immersed into 10ml 0.9% physiological saline to analyze the drug-release of gentamicin sponge. Thirdly, methicillin sensitive Staphylococcus aureus (MSSA) and Pseudomonas aeruginosa (P. aeruginosa) were used to explore the infection prevented scheme of gentamicin sponge. Finally, femur fractured with wound infection rat model was used to discuss the infection treated scheme. Then, the equation of gentamicin-loading of sponge was: z=(0.03718±0.01672)x+(-4.578e-4±0.06253)y+(-2.50935e-4±1.47521e-4)x2+(0.00303±0.00149)y2+(0.00408±3.52827e-4)xy (R2 was 0.97) and drug-release equation was z=(4.37205±1.18048)x+(-7.05921±3.09628)y+(-0.04596±0.01287)x2+(0.3309±0.07912)y2+(0.31559±0.02754)xy (R2 was 0.95). 1.6 mg/ml air-dried sponge and 0.8mg/ml air-dried sponge were enough to prevent wound infection. Besides, if wound were confirmed to be sensitive bacteria infected, we recommended to use 40mg/ml air-dried sponge, 16mg/ml air-dried sponge or 8mg/ml air-dried sponge to treat.
DOI: 10.17632/kc49ctr6yb.1
title: Datasets of simultaneous recordings of hippocampal multiunit signals and prefrontal membrane potentials

description: Datasets of simultaneous recordings of hippocampal multiunit signals and prefrontal membrane potentials for the paper "Prefrontal synaptic activation during hippocampal memory reactivation"
DOI: 10.17632/cc4jf6khx5.1
title: TPS_files_beaks_octopus

description: Thin Plate Spline files (for upper and lower beaks, respectively) containing coordinates obtained from octopus beak contours to conduct shape analysis via geometric morphometrics.
DOI: 10.17632/6t62cvc425.1
title: Digital enablers dataset

description: Raw and calibrated datasets available as supplementary files in article "Digital enablers of entrepreneurial innovation: a fuzzy-set qualitative comparative analysis"
DOI: 10.17632/rrn32wbtfg.2
title: Review of ZIKV production with Brazilian researchers from 1945 to 2017

description: This document presents a massive review of ZIKV production with Brazilian researchers from 1945 to 2017. It contains the year and month of release, plus companies and institutions implicated in these productions, such as Universities, Labs and Government Agencies.
DOI: 10.17632/772swd9nws.1
title: crop data koraput 2008-2018

description: Primary data of vegetable cultivation area, production amount and irrigation, from 2008-2018, of 2 tribal dominated village of Koraput / Odisha/India
DOI: 10.17632/bprv7xgvg9.1
title: Clinical Impact of Immunotherapy in Merkel Cell Carcinoma patients: A Systematic Review and Meta-Analysis

description: Background: Immunotherapy is emerging as an alternative for Merkel cell carcinoma (MCC), but its long-term effects on response, survival, and safety are not well established. High-quality evidence is needed to estimate its efficacy and its association with patients and tumor´s characteristics. Objective: To summarize immunotherapy’s efficacy and safety in MCC patients. Methods: A systematic review was performed for studies published in MEDLINE, Web of Science, Scopus, and EMBASE. Two reviewers reviewed the literature and data extraction in duplicate. We estimated the proportions for objective responses, progression free survival, overall survival, and treatment-related adverse events (TRAE). Associations between objective response rate (ORR) and immunobiological markers were analyzed. Results: Six clinical trials of 201 patients treated with immunotherapy were included. The ORR was 51% (95%CI, 0.40-0.62; I2=37.1%) and grade ≥ 3 TRAE was observed in 18% (95%CI, 0.11-0.29; I2=49.5%) of patients. We observed no significant difference between response and immunobiological characteristics. Conclusions: A significantly reduced tumor diameter with durable response rates and a safe profile are obtained with immunotherapy. Its association with immunobiological markers suggests that it may act on multiple pathways that achieve similar response rates on either tumor subtypes.
DOI: 10.17632/4kmw8bkj6t.2
title: Script and data for "Scaling of Eliassen-Palm Flux Vectors" by Martin Jucker, Atmospheric Science Letters, doi 10.1002/asl.1020

description: Python script and ERA5 data used to produce Figure 2 of Jucker, M. "Scaling of Eliassen-Palm Flux Vectors", Atmos. Sci. Lett., https://doi.org/10.1002/asl.1020
DOI: 10.17632/psdhby5hhg.1
title: Quantum-classical mechanics: On the problem of a two-photon resonance band shape in polymethine dyes +

description: Dependence of the model two-photon band on the energy of nuclear reorganization. Dependence of the model two-photon band on the concentration of the dye in the solution and on the temperature.
DOI: 10.17632/7fcsgwzs4s.1
title: Functional annotation of TGY genes

description: Functional annotation of TGY genes
DOI: 10.17632/txsx86fxfr.1
title: Children's sustainability verbal reports

description: Study 1: a) List of contents of slides and videos used in Conditions B and C; and b) Children's answers in session 10 of Condition C. Parents were given a letter from the experimenter, thanking them and asking if they observed discussions, plays, and/or behaviors of sustainability in their children. Study 2: Condition B, verbal interactions of the pairs talking about sustainability.
DOI: 10.17632/h3h4hszxgr.1
title: psychLight

description: raw data for all figures
DOI: 10.17632/zp9p6sr2fk.2
title: An Inexpensive Modular Gravimetric Robotic Gantry Soil Moisture Screener and Controller

description: Support Files for An Inexpensive Modular Gravimetric Robotic Gantry Soil Moisture Screener and Controller
DOI: 10.17632/dt628xp7dy.1
title: Macro-economy Data

description: This data is used for article of macroeconomic of some Asian countries in long period which explained about four Asian countries, such as Indonesia, Malaysia, Singapore, and South Korea. This data has taken from World Bank Development Indicators (WDI) database and is formed by Vector Auto Regression (VAR) model, then empirical result is executed by Granger causality model on E-views 11 program to gauge the relationship between gross domestic product, exchange rate, inflation rate, foreign direct investment, net export, government expenditures, unemployment rate, and savings. The results showed that most of gross domestic product of sample and other macro-economy variables have not causality relationship.
DOI: 10.17632/zgh5j94hfc.1
title: Dataset for research with the title "Towards an Effective Tuberculosis Surveillance in Indonesia through Google Trends"

description: Abstract ----- Background. The search digital footprint, such as in Google Trend (GT), forms a large dataset that is suitable to be used as surveillance data and supports early warning systems. These advantages become great opportunities for disease surveillance agencies in Indonesia to get rapid early disease monitoring. Objective. Due to limited research in this area and the increasing level of internet penetration in Indonesia, a further study is needed in disease monitoring by utilizing Google Trends. In this research, we explore, analyze and create a set of the best search terms to be used in utilizing GT for disease surveillance in Indonesia, especially Tuberculosis. Method. We use correlation as the technique to define the relatedness between the real case data and GT results. We collect data from the Ministry of Health of Indonesia. From the data, we design a set of new search terms to take GT trend data. The collected data is analyzed using the Pearson correlation. Result. The analysis shows that the studied search terms give strong positive relationships between GT trend data and Tuberculosis cases number in Indonesia. From the correlation analysis, we get a set of proposed effective search terms with the highest score equals to 0.907. Conclusion. Finally, it is possible to monitor and make quick surveillance in tuberculosis in Indonesia through Google Trend and we have created a novel set of search terms that can be used as the basis in monitoring other diseases in Indonesia. Jurnal : Fudholi, D., & Fikri, K. (2020). Towards an Effective Tuberculosis Surveillance in Indonesia through Google Trends. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 5(4). doi: https://doi.org/10.22219/kinetik.v5i4.1114
DOI: 10.17632/x2788w327h.1
title: EI Tatio

description: EI Tatio field mud samples
DOI: 10.17632/694773zt2m.2
title: Bowshock-ANN_Test-Set

description: The present data set consists of a list of 944 terrestrial bow shock crossings observed by IMP-8, GEOTAIL, MAGION, CLUSTER-1, THEMIS-B and THEMIS-C spacecraft during the period 1973-2009. For each crossing, in addition to the time and position, are provided the respective upstream proton ram pressure and alfvénic Mach number.
DOI: 10.17632/n67dy87vdg.1
title: Gege Hui et al.,2020.Triggering relationship between the mud volcanoes and earthquakes offshore SW Taiwan,Journal of Geophysical Research: Solid Earth

description: Gege Hui et al.,2020.Triggering relationship between the mud volcanoes and earthquakes offshore SW Taiwan,Journal of Geophysical Research: Solid Earth
DOI: 10.17632/dmd8t9kss4.1
title: Pericapsular Nerve Group Block for Analgesia of Positioning pain during Spinal Anesthesia in Hip Fracture Patients, a Randomized controlled Study

description: Proximal femur fractures are one of the commonest fractures especially in the elderly population. Early surgical fixation is the best analgesic for associated pain[1]. Spinal anesthesia has been favored by many anesthesiologists due to the simplicity of the technique, the better analgesic profile, and the lower incidence of complications like delirium and thromboembolic events[2–4]. However, severe pain, encountered during positioning for spinal anesthesia, can complicate the technique and worsen the patient experience. Different regional blocks were employed to facilitate patient positioning for spinal anesthesia including femoral nerve block (FNB), fascia iliaca compartment block (FICB), and lateral cutaneous nerve block (LCNB)[5–8]. Pericapsular nerve group (PENG) block is a recently regional technique based on blocking the articular branches to the hip joint with a single injection and is utilized for perioperative analgesia in hip surgery[9]. In our study, the PENG block will be conducted before patient transfer to the operating theater for spinal anesthesia. The primary outcome was the pain profile during positioning for the neuroaxial block. Secondary outcomes included the best angle obtained during patient positioning, time to CSF flow, patient experience (pain during positioning and sitting angle), and perioperative complications including quadratus muscle weakness, nausea, vomiting, shivering, and delirium.
DOI: 10.17632/mw54t5wt68.1
title: Halogen (F, Cl) concentrations and Sr-Nd-Pb-B isotopes of the basaltic andesites from the Southern Okinawa Trough: implications for the recycling of subducted serpentinites

description: It includes the data used in this study, including major elements, trace elements, Sr-Nd-Pb isotopes, B isotope, and F-Cl concentrations.
DOI: 10.17632/5yxhmnxmks.1
title: Differential olive grove management regulates the levels of primary metabolites in xylem sap
DOI: 10.17632/3xc4rjx6wj.2
title: Atopic dermatitis: Autoimmune, cardiovascular and mental health comorbidity associations. A Systematic Review and Meta-analysis.

description: AD patients associated risks of individual and collective autoimmune diseases, mental illnesses and cardiovascular diseases.
DOI: 10.17632/r94jkwmd5z.1
title: Donald-iScience

description: Excel spreadsheet of data and figures used in iScience manuscropt
DOI: 10.17632/zjhfk7mm7v.3
title: Verst-Maldaun Language Assessment (VMLA) Validation Process Database

description: This paper drives the process of creating VMLA, a language test meant to be used during awake craniotomies. It focuses on step by step process and aims to help other developers to build their own assessment. This project was designed as a prospective study and registered in the Ethic Committee of Educational and Research Institute of Sirio Libanês Hospital. Ethics committee approval number: HSL 2018-37 / CAEE 90603318.9.0000.5461. Images were bought by Shutterstock.com and generated the following receipts: SSTK-0CA8F-1358 and SSTK-0235F-6FC2 VMLA is a neuropsychological assessment of language function, comprising object naming (ON) and semantic. Originally composed by 420 slides, validation among Brazilian native speakers left 368 figures plus fifteen other elements, like numbers, sentences and count. Validation was focused on educational level (EL), gender and age. Volunteers were tested in fourteen different states of Brazil. Cultural differences resulted in improvements to final Answer Template. EL and age were identified as factors that influenced VLMA assessment results. Highly educated volunteers performed better for both ON and semantic. People over 50 and 35 years old had better performance for ON and semantic, respectively. Further validation in unevaluated regions of Brazil, including more balanced number of males and females and more even distribution of age and EL, could confirm our statistical analysis. After validation, ON-VMLA was framed in batteries of 100 slides each, mixing images of six different complexity categories. Semantic-VMLA kept all the original seventy verbal and non-verbal combinations. The validation process resulted in increased confidence during intraoperative test application. We are now able to score and evaluate patient´s language deficits. Currently, VLMA fits its purpose of dynamical application and accuracy during language areas mapping. It is the first test targeted to Brazilians, representing much of our culture and collective imagery. Our experience may be of value to clinicians and researchers working with awake craniotomy who seek to develop their own language test. The test is available for free use at www.vemotests.com (beginning in February, 2021)