cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12095955
title: Supplementary Material for: Microscopic Ophthalmic Surgery Using a Freely Movable Arm Support Robot: Basic Experiment and Clinical Experience

description: <b><i>Introduction:</i></b> The disadvantage of conventional armrests is the difficulty to adjust their height and position during surgery. <b><i>Objectives:</i></b> We investigated whether a freely movable armrest (FMA) that follows the surgeon’s arm is useful for reducing surgeon fatigue and arm tremors and for improving surgical accuracy. <b><i>Methods:</i></b> In the basic study, a corneal suture was placed in porcine eyes with FMA (FMA group) or without FMA (non-FMA group). The suture was intended to pass through two points. Tremor was quantified using motion-tracking software when the needle was held. Subjective symptoms of arm-related fatigue were scored using a questionnaire. Suturing accuracy was compared between the groups. In the clinical study, the same surgeon performed corneal transplantation, cataract surgery, and glaucoma surgery with or without FMA. Fatigue scores from the questionnaire were then compared. <b><i>Results:</i></b> In the basic study, hand tremor at rest was significantly improved with FMA (<i>p</i> &lt; 0.0001). The subjective arm fatigue score was significantly reduced (<i>p</i> = 0.0465), while the subjective tremor score was also significantly improved (<i>p</i> = 0.0453). There were no differences in the accuracy of corneal suturing with or without FMA. In the clinical study, the total and arm-related fatigue scores during corneal transplantation and glaucoma surgery tended to improve. <b><i>Conclusions:</i></b> FMA is a useful tool for fixing the surgeon’s arm in any position and may improve the quality of ophthalmic surgery by reducing hand tremor and fatigue.
DOI: 10.6084/m9.figshare.12095928
title: Supplementary Material for: Brief Assessment of Psychological Pain to Predict Suicidal Events at One Year in Depressed Patients

description: Medicine
DOI: 10.6084/m9.figshare.12095952.v1
title: Supplementary table of the manuscript "A new species of the genus Hemiphyllodactylus Bleeker, 1860 (Reptilia: Squamata) from Hunan Province, China".

description: Table S1: Localities, voucher information, and Genbank accession numbers for specimens used in this study.Table S2: Uncorrected<i> p-</i>distance among the <i>Hemiphyllodactylus</i> species studied based on mitochondrial ND2 gene fragments.<br>
DOI: 10.6084/m9.figshare.12095901
title: KPOP DATA.xlsx

description: The data set for a the article 'Social media and K-Pop: reasons for its rise and popularity'.
DOI: 10.6084/m9.figshare.12095823
title: Supplemental Data S1 from Photosynthetic signalling during high-light stress and recovery: targets and dynamics

description: Lists of genes used in Venn analysis (Figure 2)
DOI: 10.6084/m9.figshare.12095823.v1
title: Supplemental Data S1 from Photosynthetic signalling during high-light stress and recovery: targets and dynamics

description: Lists of genes used in Venn analysis (Figure 2)
DOI: 10.6084/m9.figshare.12095784
title: Cophylogeny of Fijian Homalictus COI and SNP data from Radiation of tropical island bees and the role of phylogenetic niche conservatism as an important driver of biodiversity

description: Cophylogeny comparing our COI maximum credibility tree and our 5-species SNP- based phylogenetic tree showing congruent topology. Branch colors represent geographic extent.
DOI: 10.6084/m9.figshare.12095784.v1
title: Cophylogeny of Fijian Homalictus COI and SNP data from Radiation of tropical island bees and the role of phylogenetic niche conservatism as an important driver of biodiversity

description: Cophylogeny comparing our COI maximum credibility tree and our 5-species SNP- based phylogenetic tree showing congruent topology. Branch colors represent geographic extent.
DOI: 10.6084/m9.figshare.12095718
title: ARID1A Regulates Transcription and the Epigenetic Landscape via POLE and DMAP1 while ARID1A Deficiency or Pharmacological Inhibition Sensitizes Germ Cell Tumor Cells to ATR Inhibition

description: <b>Abstract: </b>Germ cell tumors (GCTs) are the most common solid malignancies found in young men. Although they generally have high cure rates, metastases, resistance to cisplatin-based therapy, and late toxicities still represent a lethal threat, arguing for the need of new therapeutic options. In a previous study, we identified downregulation of the chromatin-remodeling SWI/SNF complex member ARID1A as a key event in the mode of action of the histone deacetylase inhibitor romidepsin. Additionally, the loss-of-function mutations re-sensitize different tumor types to various drugs, like EZH2-, PARP-, HDAC-, HSP90- or ATR-inhibitors. Thus, ARID1A presents as a promising target for synthetic lethality and combination therapy. In this study, we deciphered the molecular function of ARID1A and screened for the potential of two pharmacological ARID1A inhibitors as a new therapeutic strategy to treat GCTs. By CRISPR/Cas9, we generated <i>ARID1A</i>-deficient GCT cells and demonstrate by mass spectrometry that <i>ARID1A </i>is putatively involved in<i> </i>regulating transcription, DNA repair and the epigenetic landscape via DNA Polymerase POLE and the DNA methyltransferase 1-associated protein DMAP1. Additionally, ARID1A deficiency or pharmacological inhibition increased the efficacy of romidepsin and considerably sensitized GCT cells, including cisplatin-resistant subclones, towards ATR inhibition. Thus, targeting ARID1A in combination with romidepsin and ATR inhibitors presents as a new putative option to treat GCTs.
DOI: 10.6084/m9.figshare.12095724
title: Dataset from The secretome of a parasite alters its host's behaviour but does not recapitulate the behavioural response to infection

description: Complete dataset in .txt format
DOI: 10.6084/m9.figshare.12095718.v1
title: ARID1A Regulates Transcription and the Epigenetic Landscape via POLE and DMAP1 while ARID1A Deficiency or Pharmacological Inhibition Sensitizes Germ Cell Tumor Cells to ATR Inhibition

description: <b>Abstract: </b>Germ cell tumors (GCTs) are the most common solid malignancies found in young men. Although they generally have high cure rates, metastases, resistance to cisplatin-based therapy, and late toxicities still represent a lethal threat, arguing for the need of new therapeutic options. In a previous study, we identified downregulation of the chromatin-remodeling SWI/SNF complex member ARID1A as a key event in the mode of action of the histone deacetylase inhibitor romidepsin. Additionally, the loss-of-function mutations re-sensitize different tumor types to various drugs, like EZH2-, PARP-, HDAC-, HSP90- or ATR-inhibitors. Thus, ARID1A presents as a promising target for synthetic lethality and combination therapy. In this study, we deciphered the molecular function of ARID1A and screened for the potential of two pharmacological ARID1A inhibitors as a new therapeutic strategy to treat GCTs. By CRISPR/Cas9, we generated <i>ARID1A</i>-deficient GCT cells and demonstrate by mass spectrometry that <i>ARID1A </i>is putatively involved in<i> </i>regulating transcription, DNA repair and the epigenetic landscape via DNA Polymerase POLE and the DNA methyltransferase 1-associated protein DMAP1. Additionally, ARID1A deficiency or pharmacological inhibition increased the efficacy of romidepsin and considerably sensitized GCT cells, including cisplatin-resistant subclones, towards ATR inhibition. Thus, targeting ARID1A in combination with romidepsin and ATR inhibitors presents as a new putative option to treat GCTs.
DOI: 10.6084/m9.figshare.12095724.v1
title: Dataset from The secretome of a parasite alters its host's behaviour but does not recapitulate the behavioural response to infection

description: Complete dataset in .txt format
DOI: 10.6084/m9.figshare.12095664
title: Design, synthesis and characterization of higher poly(alkyl lactate acrylate)s

description: Homologous series of alkyl lactate and alkyl lactate acrylates starting from hexyl to dodecyl were synthesized and then polymerized by solution polymerization using AIBN as the free radical initiator. Lactic acid derivatives such as alkyl lactates and its acrylates were synthesized by azeotropic method. The formation of monomers and polymers were confirmed using Electron Impact-Mass Spectra, Fourier Transform Infrared spectroscopy and proton and proton decoupled carbon nuclear magnetic resonance spectroscopy. Inherent viscosity of poly(alkyl lactate acrylate)s was in the range of 0.12–0.26 dL/g. GPC curves of polymers exhibited unimodal molecular weight distribution. The thermal stability of the poly(alkyl lactate acrylate)s were determined using thermogravimetric analysis (TGA).
DOI: 10.6084/m9.figshare.12095694
title: Supplementary Material for: Effect of Interleukin-2 Receptor Antibody Induction Therapy on Survival in Renal Transplant Patients Receiving Tacrolimus

description: <b><i>Background:</i></b> This study aims to assess outcomes of interleukin-2 (IL-2) receptor blocker induction therapy on allograft and patients’ outcomes in standard risk recipients in the tacrolimus era, analysing data form the British Renal Transplant Registry. <b><i>Methods:</i></b> The study population involved all standard-risk renal transplant patients from 2000 till 2015 who were registered in the UK transplant registry and followed up till May 2018. Standard risk transplants were defined as patients with &lt;2DR mismatch, calculated reaction frequency &lt;20%, live donors or donors after brain death and patients with no previous renal transplantation transplant. We used inverse probability weights to adjust different covariates between the groups. Cox regression analysis for adjusted data and treatment effects model were used to assess outcomes. <b><i>Results:</i></b> In all, 3,597 renal transplant patients were included in the study. Two groups were identified; induction group (<i>n</i> = 2,858) which included patients who received IL-2 receptor blocker induction therapy and the no-induction group (<i>n</i> = 739). There was no significant difference between both groups in terms of estimated glomerular filtration rate (eGFR) rate at 1-year post-transplant (correlation co-efficient = 1.224, 95% CI ranges from –0.347 to 2.796). Average eGFR was 59.922 mL/min/1.73 m<sup>2</sup> in the induction group (SD 29.171) and 64.557 mL/min/1.73 m<sup>2</sup> in the no-induction groups (SD 46.763). There was no significant difference between both groups regarding graft survival at 5 years post-transplant (hazard ratio [HR] 0.944, 95% CI ranges from 0.599 to 1.485, <i>p</i> = 0.804), patient survival at 5 years post-transplant (HR 0.809, 95% CI ranges from 0.477 to1.372, <i>p</i> = 0.433). <b><i>Conclusion</i></b>: In the standard risk renal transplant population, the IL2 receptor blocker induction regimen does not affect eGFR at 1 year or renal and graft outcomes at 5 years.
DOI: 10.6084/m9.figshare.12095658
title: Data-driven Discovery of 3D and 2D Thermoelectric Materials

description: <b> </b>In this work, we first perform a systematic search for high-efficiency three-dimensional (3D) and two-dimensional (2D) thermoelectric materials by combining semiclassical transport techniques with density functional theory (DFT) calculations and then train machine-learning models on the thermoelectric data. Out of 36000 three-dimensional and 900 two-dimensional materials currently in the publicly available JARVIS-DFT database, we identify 2932 3D and 148 2D promising thermoelectric materials using a multi-steps screening procedure, where specific thresholds are chosen for key quantities like bandgaps, Seebeck coefficients and power factors. We compute the Seebeck coefficients for all the materials currently in the database and validate our calculations by comparing our results, for a subset of materials, to experimental and existing computational datasets. We also investigate the effect of chemical, structural, crystallographic and dimensionality trends on thermoelectric performance. We predict several classes of efficient 3D and 2D materials such as Ba(MgX)<sub>2</sub> (X=P,As,Bi), X<sub>2</sub>YZ<sub>6</sub> (X=K,Rb, Y=Pd,Pt, Z=Cl,Br), K<sub>2</sub>PtX<sub>2</sub>(X=S,Se), NbCu<sub>3</sub>X<sub>4 </sub>(X=S,Se,Te), Sr<sub>2</sub>XYO<sub>6 </sub>(X=Ta, Zn, Y=Ga, Mo), TaCu<sub>3</sub>X<sub>4 </sub>(X=S, Se,Te), and XYN (X=Ti, Zr, Y=Cl, Br). Finally, as high-throughput DFT is computationally expensive, we train machine learning models using gradient boosting decision trees (GBDT) and classical force-field inspired descriptors (CFID) for n-and p-type Seebeck coefficients and power factors, to quickly pre-screen materials for guiding the next set of DFT calculations. The dataset and tools are made publicly available at the websites: https://www.ctcms.nist.gov/~knc6/JVASP.html , https://www.ctcms.nist.gov/jarvisml/ and https://jarvis.nist.gov/ .<b></b>
DOI: 10.6084/m9.figshare.12095541
title: Merged Metadata Stats File

description: Merged metadata file containing sample codes and statistics for read outputs
DOI: 10.6084/m9.figshare.12095529
title: Merged Metadata File

description: Combined metadata stats file containing both the sample information and sequencing processing statistics for reads
DOI: 10.6084/m9.figshare.12095538
title: Merged OTU/Taxonomy Table

description: Merged table containing OTU counts and taxonomical names, cleaned up for data exploration
DOI: 10.6084/m9.figshare.12095529.v1
title: Merged Metadata File

description: Combined metadata stats file containing both the sample information and sequencing processing statistics for reads
DOI: 10.6084/m9.figshare.12095658.v1
title: Data-driven Discovery of 3D and 2D Thermoelectric Materials

description: <b> </b>In this work, we first perform a systematic search for high-efficiency three-dimensional (3D) and two-dimensional (2D) thermoelectric materials by combining semiclassical transport techniques with density functional theory (DFT) calculations and then train machine-learning models on the thermoelectric data. Out of 36000 three-dimensional and 900 two-dimensional materials currently in the publicly available JARVIS-DFT database, we identify 2932 3D and 148 2D promising thermoelectric materials using a multi-steps screening procedure, where specific thresholds are chosen for key quantities like bandgaps, Seebeck coefficients and power factors. We compute the Seebeck coefficients for all the materials currently in the database and validate our calculations by comparing our results, for a subset of materials, to experimental and existing computational datasets. We also investigate the effect of chemical, structural, crystallographic and dimensionality trends on thermoelectric performance. We predict several classes of efficient 3D and 2D materials such as Ba(MgX)<sub>2</sub> (X=P,As,Bi), X<sub>2</sub>YZ<sub>6</sub> (X=K,Rb, Y=Pd,Pt, Z=Cl,Br), K<sub>2</sub>PtX<sub>2</sub>(X=S,Se), NbCu<sub>3</sub>X<sub>4 </sub>(X=S,Se,Te), Sr<sub>2</sub>XYO<sub>6 </sub>(X=Ta, Zn, Y=Ga, Mo), TaCu<sub>3</sub>X<sub>4 </sub>(X=S, Se,Te), and XYN (X=Ti, Zr, Y=Cl, Br). Finally, as high-throughput DFT is computationally expensive, we train machine learning models using gradient boosting decision trees (GBDT) and classical force-field inspired descriptors (CFID) for n-and p-type Seebeck coefficients and power factors, to quickly pre-screen materials for guiding the next set of DFT calculations. The dataset and tools are made publicly available at the websites: https://www.ctcms.nist.gov/~knc6/JVASP.html , https://www.ctcms.nist.gov/jarvisml/ and https://jarvis.nist.gov/ .<b></b>
DOI: 10.6073/pasta/76b71bb30f3a2c809eee79ac2023f652
title: Soil nutrient availability from the 2007 Anaktuvuk River, Alaska, USA fire scar during the 2019 growing season

description: This file contains plant-available nitrate (NO3), ammonium (NH4), phosphate (PO4), and total free primary amines (TFPA )in the upper 5-10cm of organic matter from a burned and unburned site in the southern section of the 2007 Anaktuvuk River fire in northern Alaska. Soil nutrients were assessed using buried resin bags which incubated for 1 month during the peak of the growing season in 2019.
DOI: 10.6084/m9.figshare.12095508
title: Sample Sequencing Stats

description: Sequencing stats for Winogradsky column samples
DOI: 10.6084/m9.figshare.12095409
title: Micronycteris microtis prey movement data from Predation risks of signalling and searching: bats prefer moving katydids

description: Data as .csv file
DOI: 10.6084/m9.figshare.12095496
title: Sample Metadata

description: Metadata information for Winogradsky column 16S sequencing samples
DOI: 10.6084/m9.figshare.12095409.v1
title: Micronycteris microtis prey movement data from Predation risks of signalling and searching: bats prefer moving katydids

description: Data as .csv file
DOI: 10.6084/m9.figshare.12095658.v2
title: Data-driven Discovery of 3D and 2D Thermoelectric Materials

description: <b> </b>In this work, we first perform a systematic search for high-efficiency three-dimensional (3D) and two-dimensional (2D) thermoelectric materials by combining semiclassical transport techniques with density functional theory (DFT) calculations and then train machine-learning models on the thermoelectric data. Out of 36000 three-dimensional and 900 two-dimensional materials currently in the publicly available JARVIS-DFT database, we identify 2932 3D and 148 2D promising thermoelectric materials using a multi-steps screening procedure, where specific thresholds are chosen for key quantities like bandgaps, Seebeck coefficients and power factors. We compute the Seebeck coefficients for all the materials currently in the database and validate our calculations by comparing our results, for a subset of materials, to experimental and existing computational datasets. We also investigate the effect of chemical, structural, crystallographic and dimensionality trends on thermoelectric performance. We predict several classes of efficient 3D and 2D materials such as Ba(MgX)<sub>2</sub> (X=P,As,Bi), X<sub>2</sub>YZ<sub>6</sub> (X=K,Rb, Y=Pd,Pt, Z=Cl,Br), K<sub>2</sub>PtX<sub>2</sub>(X=S,Se), NbCu<sub>3</sub>X<sub>4 </sub>(X=S,Se,Te), Sr<sub>2</sub>XYO<sub>6 </sub>(X=Ta, Zn, Y=Ga, Mo), TaCu<sub>3</sub>X<sub>4 </sub>(X=S, Se,Te), and XYN (X=Ti, Zr, Y=Cl, Br). Finally, as high-throughput DFT is computationally expensive, we train machine learning models using gradient boosting decision trees (GBDT) and classical force-field inspired descriptors (CFID) for n-and p-type Seebeck coefficients and power factors, to quickly pre-screen materials for guiding the next set of DFT calculations. The dataset and tools are made publicly available at the websites: https://www.ctcms.nist.gov/~knc6/JVASP.html , https://www.ctcms.nist.gov/jarvisml/ and https://jarvis.nist.gov/ .<b></b>
DOI: 10.6084/m9.figshare.12095406
title: R script for analyses of Micronycteris microtis prey movement data from Predation risks of signalling and searching: bats prefer moving katydids

description: R script for analyses
DOI: 10.6084/m9.figshare.12095406.v1
title: R script for analyses of Micronycteris microtis prey movement data from Predation risks of signalling and searching: bats prefer moving katydids

description: R script for analyses
DOI: 10.6084/m9.figshare.12095658.v3
title: Data-driven Discovery of 3D and 2D Thermoelectric Materials

description: <b> </b>In this work, we first perform a systematic search for high-efficiency three-dimensional (3D) and two-dimensional (2D) thermoelectric materials by combining semiclassical transport techniques with density functional theory (DFT) calculations and then train machine-learning models on the thermoelectric data. Out of 36000 three-dimensional and 900 two-dimensional materials currently in the publicly available JARVIS-DFT database, we identify 2932 3D and 148 2D promising thermoelectric materials using a multi-steps screening procedure, where specific thresholds are chosen for key quantities like bandgaps, Seebeck coefficients and power factors. We compute the Seebeck coefficients for all the materials currently in the database and validate our calculations by comparing our results, for a subset of materials, to experimental and existing computational datasets. We also investigate the effect of chemical, structural, crystallographic and dimensionality trends on thermoelectric performance. We predict several classes of efficient 3D and 2D materials such as Ba(MgX)<sub>2</sub> (X=P,As,Bi), X<sub>2</sub>YZ<sub>6</sub> (X=K,Rb, Y=Pd,Pt, Z=Cl,Br), K<sub>2</sub>PtX<sub>2</sub>(X=S,Se), NbCu<sub>3</sub>X<sub>4 </sub>(X=S,Se,Te), Sr<sub>2</sub>XYO<sub>6 </sub>(X=Ta, Zn, Y=Ga, Mo), TaCu<sub>3</sub>X<sub>4 </sub>(X=S, Se,Te), and XYN (X=Ti, Zr, Y=Cl, Br). Finally, as high-throughput DFT is computationally expensive, we train machine learning models using gradient boosting decision trees (GBDT) and classical force-field inspired descriptors (CFID) for n-and p-type Seebeck coefficients and power factors, to quickly pre-screen materials for guiding the next set of DFT calculations. The dataset and tools are made publicly available at the websites: https://www.ctcms.nist.gov/~knc6/JVASP.html , https://www.ctcms.nist.gov/jarvisml/ and https://jarvis.nist.gov/ .<b></b>
DOI: 10.6084/m9.figshare.12095223
title: Molecule definitions, topologies and coordinates for Aryl-urea uncouplers

description: Definitions of molecules and topologies for NM3D-DOPC, NM3P-DOPC and mixed NM3P-NMPD-DOPC bilayer systems in SPC water with 100mM NaCl. <br>GROMOS-54A7 FF<br>
DOI: 10.6084/m9.figshare.12095223.v1
title: Molecule definitions, topologies and coordinates for Aryl-urea uncouplers

description: Definitions of molecules and topologies for NM3D-DOPC, NM3P-DOPC and mixed NM3P-NMPD-DOPC bilayer systems in SPC water with 100mM NaCl. <br>GROMOS-54A7 FF<br>
DOI: 10.6084/m9.figshare.12095166
title: Effect of enhanced masticatory force on OPG, RANKL and MGF in alveolar bone of ovariectomized rats

description: Abstract Menopause induces oral bone loss, leading to various oral diseases. Mastication importantly affects bone metabolism in the jawbone. Objective: To analyze the effect of enhanced masticatory force on osteoprotegerin (OPG), receptor activator of nuclear factor kappa B ligand (RANKL), and mechano–growth factor (MGF) in alveolar bone of ovariectomized rats and to study the mechanics mechanism of the alveolar bone of ovariectomized rats response to enhanced masticatory force. Methodology: Thirty Sprague Dawley rats were randomly divided into three groups: sham–operation group (fat around the removed ovary + normal hard diet), model group (ovariectomy + normal hard diet), and experimental group (ovariectomy + high hard diet). It was a 2–month experiment. Enzyme–linked immunosorbent assay (ELISA) detected serum estradiol (E2), osteocalcin (BGP) and alkaline phosphatase (ALP) in rats. Bone histomorphometric indices in the third molar region of maxilla were detected by micro-CT; protein expressions of OPG, RANKL, and MGF in the third molar region of maxilla was detected by Western blot; and gene expression of OPG, RANKL, and MGF in the third molar region of maxilla was detected by Quantitative Real–Time PCR. Results: Comparing with model group, serum E2 in experimental group increased but not significantly, serum BGP and serum ALP in experimental group decreased but not significantly, OPG in experimental group in alveolar bone increased significantly, RANKL in experimental group in alveolar bone decreased significantly, RANKL/OPG ratio in experimental group decreased significantly, MGF in experimental group in alveolar bone increased significantly, bone volume to total volume fraction increased significantly in experimental group, trabecular thickness increased significantly in experimental group, and trabecular separation decreased significantly in experimental group. Conclusion: Enhanced masticatory force affected the expression of OPG, RANKL, and MGF in alveolar bone of ovariectomized rats, improved the quality of jaw bone of ovariectomized rats, and delayed oral bone loss by ovariectomy.