cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16545846
title: Summary data of chamber-based oxygen and methane consumption and production in the streambed and outgassing of carbon dioxide and methane to the atmosphere collected seasonally for six tributaries of Hampshire River Avon (UK) during 2013-2014.

description: Data were collected in six headwater reaches of the lowland catchment of the Hampshire River Avon (UK), specifically on Chalk River Ebble and River Wylye, Greensand River Nadder and West Avon, and clay River Sem and Sem Tributary River Priors between April 23<sup>th</sup> 2013 and February 10<sup>th</sup> 2014. The setup consists of transparent and dark Perspex chambers (0.5 L enclosed volume, 73 cm<sup>2</sup> surface area) mounted on a steel-ring, which were used to quantify O<sub>2</sub> production and CH<sub>4</sub> release in the light and benthic O<sub>2</sub> consumption and CH<sub>4</sub> release in the dark, respectively. Concentrations of CH4 were obtained based on discrete samples (GC analysis); O<sub>2</sub> from Clark-type oxygen microelectrodes connected to an Unisense Under-Water Meter. The floating chambers consists of an inverted plastic bowl covered in reflective aluminum tape, fitted with a polyurethane tubing sample port to allow for gas-sampling (CH<sub>4</sub> measurements) and a SenseAir CO<sub>2</sub> sensor <br>A more comprehensive description of the datasets is available from the manuscript below.Rovelli L., L. A. Olde, C. M. Heppell, A. Binley, G. Yvon-Durocher, R. N. Glud, M. Trimmer. (2022) <sup></sup>Contrasting biophysical controls on carbon dioxide and methane outgassing from streams. <i>Journal of Geophysical Research: Biogeosciences </i>127(1): e2021JG006328, doi:10.1029/2021JG006328
DOI: 10.6084/m9.figshare.19195706
title: Supplementary Material for: Oral Corticosteroids Impair Mucin Production and Alter the Posttransplantation Microbiota in the Gut

description: <b><i>Introduction:</i></b> Gut microbiota alterations cause inflammation in patients with ulcerative colitis (UC). Fecal microbiota transplantation (FMT) enables manipulating the microbiota’s composition, but the mechanisms underlying colonization of the posttransplantation microbiota are poorly understood. <b><i>Methods:</i></b> In this open-label, nonrandomized study, the FMT efficacy and changes in the gut microbiota were evaluated in 8 UC patients with mild-to-moderately active endoscopic colonic lesions. Compositional changes in the fecal and mucosal microbiotas between donors and recipients were examined via 16S rRNA-based sequencing. To investigate the effects of oral corticosteroids on microbiota colonization, FMT was performed in germ-free prednisolone (PSL)-administered mice to examine the factors determining colonization. <b><i>Results:</i></b> Four UC patients achieved clinical remission (CR) after FMT, and 3 also achieved endoscopic remission. The fecal microbiotas of the CR patients changed similar to those of the donors after FMT. The mucin-coding gene, <i>MUC2</i>, was less expressed in the colons of the PSL-dependent patients than in the PSL-free patients. In the mice, PSL treatment decreased the fecal mucin production and altered the posttransplantation fecal microbiota composition. Adding either exogenous mucin or the mucin secretagogue, rebamipide, partially alleviated the PSL-induced dysbiosis of the gut microbiota. Administering rebamipide with FMT from healthy donors relieved inflammation in mice with <i>Enterococcus faecium</i>-induced colitis. <b><i>Conclusion:</i></b> Colonic mucin controlled the gut microbiota composition, and oral corticosteroid treatment modified the gut microbiota partly by reducing the colonic mucin.
DOI: 10.48370/ofd/sh9ykm
title: Eutypa crustata (Fr.) Sacc., 2899

description: Fungarium Macromycetes
DOI: 10.12755/niems.doc.2021.1
title: โรคหลอดเลือดสมอง (Stroke) ความรู้สำหรับผู้ปฏิบัติการด้านการแพทย์ฉุกเฉิน
DOI: 10.5258/soton/d2132
title: Dataset for "Some Topics in the Theory of Ultracold Atomic Gases"

description: Data obtained from numerical simulations for a University of Southampton Doctoral Thesis "Some Topics in the Theory of Ultracold Atomic Gases"
DOI: 10.6084/m9.figshare.19195712
title: Supplementary Material for: Effects of Body Weight Change on Development of Chronic Kidney Disease in Obese Metabolic Phenotypes

description: <b><i>Introduction:</i></b> Obesity is a risk factor for chronic kidney disease (CKD), but whether the reduction of body mass index (BMI) helps prevent CKD is controversial. Recently, obese metabolic phenotypes have raised considerable interest. We thus investigated the effect of BMI change on CKD development. <b><i>Methods:</i></b> We analyzed the data of 6,959 subjects who underwent annual health checkups in both 2013 and 2018. The subjects were categorized into five groups according to their BMI percentage change (ΔBMI) and classified into four obese metabolic phenotypes. By a multivariate logistic regression analysis, we investigated the association between BMI change and CKD development within the 5 years. <b><i>Results:</i></b> In total subjects, compared with the maintained BMI group (ΔBMI ≥0% but &lt;2.5%), the odd ratios (ORs) and 95% confidence intervals (CIs) of CKD development were 0.70 (95% CI 0.54–0.91) for the severe BMI decrease group (ΔBMI <i>Conclusions:</i> In the MHO phenotype, an increased BMI deteriorated CKD development, and a decreased BMI ameliorated CKD development in the MUNO phenotype.
DOI: 10.6084/m9.figshare.18687056
title: Supplementary Material for: Association of sensitive eyes with sensitive skin: A worldwide study of 10,743 subjects

description: Introduction: Sensitive eyes are commonly reported by patients but there are very few epidemiological studies on this disorder. The aim of this study was the evaluation of the self-reported frequency of sensitive eyes and the association with sensitive skin. Methods: A survey was performed on a representative sample of the population aged more than 18 years in five different countries (Brazil, China, France, Russia, and the United States). All participants answered a questionnaire on sociodemographic characteristics; skin phototype; eye color; tobacco consumption; exposure to sunlight, air pollution or having pets; and sleep disorders. The presence of sensitive eyes, eyelids or skin and their triggering factors were assessed with specific questions. Results: A total of 10,743 individuals (5285 men and 5458 women) were included in the study. Among them, 48.2% reported having sensitive skin and 46.0% reported having “sensitive eyes”. “Sensitive eyes” were more frequently reported by women (46.5%) than men (39.4%) in all countries, with the exception of China. The presence of “sensitive eyes” was more frequent if skin was very sensitive. More than half of subjects with “sensitive eyes” declared that their triggering factors were exposure to sunlight, dust, touch pad screens or computer screens or dry air. They were more exposed to pollution and tobacco. Their phototype (including eye color) was lighter. Discussion/Conclusion: This large study shows that self-declared “sensitive eyes” are very frequent and commonly associated with sensitive skin. Triggering factors of sensitive eyes are more specific.
DOI: 10.6084/m9.figshare.18687056.v1
title: Supplementary Material for: Association of sensitive eyes with sensitive skin: A worldwide study of 10,743 subjects

description: Introduction: Sensitive eyes are commonly reported by patients but there are very few epidemiological studies on this disorder. The aim of this study was the evaluation of the self-reported frequency of sensitive eyes and the association with sensitive skin. Methods: A survey was performed on a representative sample of the population aged more than 18 years in five different countries (Brazil, China, France, Russia, and the United States). All participants answered a questionnaire on sociodemographic characteristics; skin phototype; eye color; tobacco consumption; exposure to sunlight, air pollution or having pets; and sleep disorders. The presence of sensitive eyes, eyelids or skin and their triggering factors were assessed with specific questions. Results: A total of 10,743 individuals (5285 men and 5458 women) were included in the study. Among them, 48.2% reported having sensitive skin and 46.0% reported having “sensitive eyes”. “Sensitive eyes” were more frequently reported by women (46.5%) than men (39.4%) in all countries, with the exception of China. The presence of “sensitive eyes” was more frequent if skin was very sensitive. More than half of subjects with “sensitive eyes” declared that their triggering factors were exposure to sunlight, dust, touch pad screens or computer screens or dry air. They were more exposed to pollution and tobacco. Their phototype (including eye color) was lighter. Discussion/Conclusion: This large study shows that self-declared “sensitive eyes” are very frequent and commonly associated with sensitive skin. Triggering factors of sensitive eyes are more specific.
DOI: 10.48370/ofd/dm0fxh
title: Eutypa crustata (Fr.) Sacc., 2930

description: Fungarium Macromycetes
DOI: 10.14272/aoucpyfcrawrnu-uhfffaoysa-n.2
title: 4-phenyltetrazolo[1,5-a]quinoxaline
title: InChI=1S/C14H9N5/c1-2-6-10(7-3-1)13-14-16-17-18-19(14)12-9-5-4-8-11(12)15-13/h1-9H

description: This dataset contains experimental data from a sample (4-phenyltetrazolo[1,5-a]quinoxaline, InChI=1S/C14H9N5/c1-2-6-10(7-3-1)13-14-16-17-18-19(14)12-9-5-4-8-11(12)15-13/h1-9H). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/aoucpyfcrawrnu-uhfffaoysa-n/chmo0000630.1
title: infrared absorption spectroscopy (IR) (4-phenyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C14H9N5/c1-2-6-10(7-3-1)13-14-16-17-18-19(14)12-9-5-4-8-11(12)15-13/h1-9H

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3063, 1609, 1595, 1577, 1537, 1506, 1493, 1465, 1448, 1438, 1402, 1343, 1330, 1285, 1256, 1239, 1224, 1200, 1181, 1156, 1139, 1102, 1084, 1075, 1026, 1017, 994, 948, 935, 925, 868, 850, 795, 765, 728, 703, 687, 671, 657, 630, 616, 574, 557, 493, 456 cm–1.
DOI: 10.14272/aoucpyfcrawrnu-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (4-phenyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C14H9N5/c1-2-6-10(7-3-1)13-14-16-17-18-19(14)12-9-5-4-8-11(12)15-13/h1-9H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 7.58–7.69 (m, 3H, HAr), 7.81–7.92 (m, 2H, HAr), 8.29–8.39 (m, 1H, HAr), 8.60–8.69 (m, 1H, HAr), 8.90–8.98 (m, 2H, HAr). Impurities: 0.07 ppm, 1.25 ppm (grease), 1.56 ppm( water).
DOI: 10.14272/aoucpyfcrawrnu-uhfffaoysa-n/chmo0000470.1
title: mass spectrometry (MS) (4-phenyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C14H9N5/c1-2-6-10(7-3-1)13-14-16-17-18-19(14)12-9-5-4-8-11(12)15-13/h1-9H

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 20 °C): 247 (12) [M]+, 221 (26), 220 (48), 219 (100), 218 (19), 91 (12). HRMS–EI (m/z): [M]+ calcd for C14H9N5 247.0858; found 247.0857.
DOI: 10.14272/aoucpyfcrawrnu-uhfffaoysa-n/chmo0000595.1
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (4-phenyltetrazolo[1,5-a]quinoxaline)
title: InChI=1S/C14H9N5/c1-2-6-10(7-3-1)13-14-16-17-18-19(14)12-9-5-4-8-11(12)15-13/h1-9H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, CDCl3, ppm) δ = 116.4, 124.5, 129.1 (2C), 129.8 (2C), 130.0, 130.6, 130.8, 132.3, 134.3, 137.0, 142.4, 148.3.
DOI: 10.48370/ofd/2zr73v
title: Eutypa crustata (Fr.) Sacc., 2936

description: Fungarium Macromycetes
DOI: 10.21227/w28s-mn61
title: Dog activity

description: This dataset is related to dog activity and is sensor data.
DOI: 10.23728/b2share.436e1e79daa54436a7703340431b4e19
title: Scripts and networks for "Electronic Structure Machine Learning Surrogates without Training"

description: # Scripts for "Electronic Structure Machine Learning Surrogates without Training" This repository contains scripts to reproduce the results of the publication "Electronic Structure Machine Learning Surrogates without Training". Training data has to be downloaded separately. ## DISCLAIMER These scripts were developed and used in a phase of active software development of MALA. Despite being tested, the authors cannot guarantee that using the most recent version of MALA as of writing this README (see requirements) will work without problems. Should problems arise, please do not hesitate to contact the MALA developers. ## Requirements numpy &gt;= 1.20.1 mala &gt;= 1.0.0 ## Contents All folders relating to network training (subfolders of `hyperparameter_optimization_Al256` and the folder `SNAP_analysis_Be128`) will contain three folders relating to the network training: - `weights`: Network weights - `params`: Parameters used for training - `results`: Predictions and actual values of total energies/band energies ### "hyperparameter_optimization_Al256": Hyperparameter optimization comparison for an aluminium supercell This subfolder contains the scripts used for the hyperparameter optimization comparisons. Please note that the training/test of networks was done multiple times, and only the sample scripts are shown here, i.e., the parallelization over the network initializations is not given (and was done using a simple bash script). Each individual hyperparameter optimization technique subfolder contains (at least): - hyperopt.py for the hyperparameter optimization - training.py for the training of a single network - test.py for testing of a single network Further, please note that some hyperparameter optimization techniques required more debugging then others, and so you will find the checkpoint IDs sometimes as "hyperopt01", but also as "hyperopt08". For the comparison of snapshot selection vs. network initialization the "direct_search" scripts have been used, with the network initialization being fixed via "parameters.manual_seed = ...". Parameters/network weights are denoted by runXX (with XX=1...5) and, where it applies, snapYY (YY=0,2,4,6,8). ### SNAP_analysis_Be128: SNAP descriptor surrogate metric With the scripts in this subfolder input data generation for the ACSD analysis as well as the analysis itself can be performed. ### LDOS_analysis_Be128: LDOS quality analysis The script(s) in this subfolder show how the LDOS of a system can be analyzed.
DOI: 10.6084/m9.figshare.19195652.v1
title: Dataset about GEJ-NEN and GA-NEN from SEER database.xlsx

description: Dataset about GEJ-NEN and GA-NEN from SEER database
DOI: 10.5281/zenodo.6135961
title: shrimppond

description: We develop a conceptual groundwater-surface water coupled coastal shrimp pond model based on the HydroGeoSphere to explore the effect of saline shrimp ponds on the aquifers salinity distribution and fresh submarine groundwater discharge. Datasets include: Model building files and 2020 Guangdong Aquaculture Pond Shp.
DOI: 10.6084/m9.figshare.19195739
title: File 2: New prospects on the cranial evolution of non-avialan paravian theropods based on geometric morphometrics

description: PAST
DOI: 10.6084/m9.figshare.19195739.v1
title: File 2: New prospects on the cranial evolution of non-avialan paravian theropods based on geometric morphometrics

description: PAST
DOI: 10.17909/t9-vqk6-pc80
title: Mock Image Training Sets for DeepMerge ("DEEPMERGE")

description: To investigate the use of Convolutional Neural Networks (CNNs) for distinguishing between simulated distant (z=2) merging and non-merging galaxies, the authors created two versions of mock data mimicking Hubble Space Telescope and James Webb Space Telescope observations: pristine (simulated galaxy images with PSF blurring) and noisy (simulated galaxy images with PSF and observational noise). The accuracy of the CNN model on the test set is 79% (76%) on the pristine (noisy) mock data. The CNN outperforms a Random Forest classifier (Snyder et al. 2019), which was shown to be superior to conventional one- or two-dimensional statistical methods (Concentration, Asymmetry, the Gini, M20 statistics etc.), which are commonly used when classifying merging galaxies. These data were derived from the z=2 snapshot of the Illustris-1 simulation from the Illustris Project.
DOI: 10.5281/zenodo.6136994
title: MorbidGenes-Panel-v2022-02.1

description: <strong>Background</strong>: Identifying clinically relevant genetic variants is crucial for a fast and reliable genetic diagnosis. With exome sequencing now standard, diagnostic labs are in need of a, in principle, to-the-day-accurate list of genes associated with rare diseases. Manual curation efforts are slow and often disease specific, while efforts relying on single sources are too inaccurate and result in too many false-positive genes. <strong>Methods</strong>: We established the MorbidGenes panel based on a list of publicly available databases: OMIM, PanelApp, SysNDD, ClinVar, HGMD and GenCC. A simple logic allows inclusion of genes with sufficient evidence based on a voting algorithm. By providing an API endpoint, users can directly access the list and meta data for all relevant information on their genes of interest. <strong>Results</strong>: The panel currently includes 4,677 genes (v.2022-02.1, as of February 2022) with minimally sufficient evidence on disease causality to classify them as diagnostically relevant. Reproducible filtering and versioning allow the integration into diagnostic pipelines. In-house Implementation successfully removed false positive genes and reduced time requirements in routine exome diagnostics. The panel is updated monthly, and we will integrate novel sources on a regular basis. <strong>Conclusion</strong>: The MorbidGenes panel is a comprehensive and open overview of clinically relevant genes based on a growing list of sources. It supports genetic diagnostics labs by providing diagnostically relevant genes in a QM conform format on a monthly basis with more frequent updates planned. Once genomes are standard, diagnostically relevant non-coding regions will also be included.
DOI: 10.25345/c5z87m
title: MassIVE MSV000088860 - Lipidomics of zebrafish liver tissues
title: Application of an untargeted liquid chromatography- high resolution mass spectrometry platform for lipidomics profiling of zebrafish liver tissues
DOI: 10.48370/ofd/ukdujm
title: Eutypa lata (Persoon) Tulasne C.Tulasne, 2894

description: Fungarium Macromycetes
DOI: 10.11583/dtu.13251524
title: Cape Verde Reference Power System Data

description: Author: Daniel Vázquez Pombo (dvapo@elektro.dtu.dk), ORCID: https://orcid.org/0000-0001-5664-9421-------------------------------------------------------------------------------<br><br><b>The version 2.0 of this dataset is available here -&gt;</b>https://doi.org/10.11583/DTU.17430413 <br>-------------------------------------------------------------------------------<br>The first version of this dataset was presented in the paper:"The Islands of Cape Verde as a Reference System for 100 % Renewable Deployment". 2021 IEEE Green Technologies Conference. -&gt; https://ieeegreentech.org/cfp/DOI: https://doi.org/10.1109/GreenTech48523.2021.00077<br>Submmited: Dec 2020Accepted: Feb 2021Published: Apr 2021-------------------------------------------------------------------------------The folder contains all the necessary data to model the Electric Power System of São Vicente and Santiago (Cape Verde) islands. These are in the dozens and hundreds of MW range respectively.<br>The vast majority of the data is provided by Electra and Cabeólica; the TSO and biggest renewable utility in Cape Verde respectively. <br>Do not hesitate on contacting me if you require additional data not yet included, or if you encounter any problem. This repository is suffering ongoing development and thus, the datasets are continuously expanding. Any sort of feedback is welcomed.-------------------------------------------------------------------------------<br>Remember to cite us and recommend it to your peers.<br>Also my email is above if you would like to use the benchmark in your research and are looking for a collaborator.-------------------------------------------------------------------------------<br>
DOI: 10.14768/6494348c-3304-4838-a379-a7ccfefac872
title: Global Climate Modelling of Saturn’s stratospheric equatorial oscillation and seasonal inter-hemispheric circulation

description: Post-processing file (ccat_precast_96lvl_318k_testpsi_TEM.nc) of the simulation outputs of the DYNAMICO-LMDZ.GENERIC Global Climate Model in Saturn configuration, including zonal averages of temperature, zonal, meridional and vertical winds, as well as all the dynamic diagnostics of wave-flow interactions averaged over 13 simulated Saturn years. This file is accompanied by three animations showing the temporal evolution of the descent of the zonal wind extremes and the temperature anomalies of the stratospheric equatorial oscillation over 10 Saturn years, as well as the seasonal evolution of the inter-hemispheric circulation of the Saturn stratosphere (average year over 7 Saturn years)
DOI: 10.48370/ofd/ru1sji
title: Eutypa lata (Persoon) Tulasne C.Tulasne, 2912

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.17054171
title: Nutrient fertilization by dogs in peri-urban ecosystems

description: Data associated with De Frenne et al. Nutrient fertilization by dogs in peri-urban ecosystems. Ecological Solutions & Evidence. https://besjournals.onlinelibrary.wiley.com/doi/10.1002/2688-8319.12128
DOI: 10.6084/m9.figshare.17054171.v2
title: Nutrient fertilization by dogs in peri-urban ecosystems

description: Data associated with De Frenne et al. Nutrient fertilization by dogs in peri-urban ecosystems. Ecological Solutions & Evidence. https://besjournals.onlinelibrary.wiley.com/doi/10.1002/2688-8319.12128
DOI: 10.5281/zenodo.6125880
title: Detrital Carbonate Minerals in Earth's Element Cycles (Data & Scripts)

description: Earth surface conditions, including climate and sea level, are largely controlled by the cycling of carbon and biogeochemically coupled elements. However, most elemental budgets cannot be consentaneously balanced for the present state. Here, we investigate the possible role of riverine carbonate minerals in biogeochemical cycles. We derive individual river basin export fluxes, the global export flux to the ocean and its reduction by human influence, utilizing state-of-the-art regression techniques and published global-scale datasets. Results point to a significance of riverine detrital carbonates for the global mass balances of carbon, calcium, alkalinity and strontium, which might help solving this long-standing problem. [Plain Language summary from: Müller et al. 2022, Detrital Carbonates in Earth's Element Cycles, GBC, https://doi.org/10.1002/essoar.10508409.1 ]. Here data and scripts on which these investigations are based can be accessed. Funding:<br> This work was carried out under the umbrella of the Netherlands Earth System Science Centre (NESSC). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie, grant agreement No 847504. Funding was also provided by BMBF-project PALMOD (Ref 01LP1506C) through the German Federal Ministry of Education and Research (BMBF) as Research for Sustainability inititative (FONA). AS thanks the European Research Council for Consolidator Grant 771497.
description: https://github.com/GerritMuller/Detrital-Carbonates-in-Earths-Element-cycles