cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zx428xfrcg.1
title: Glacier surface velocities in the Jankar Chhu Watershed, western Himalaya, India: Study using Landsat time series data (1992–2020)

description: This datasets presents a spatial and temporal surface velocity analysis of 33 glaciers in the Jankar Chhu Watershed (JCW), western Himalaya. The surface velocity was computed using the Co-registration of Optically Sensed Images and Correlation (COSI-Corr) tool on the Landsat images spanning nearly three decades (1992–2020). Glaciers in the JCW exhibit three distinct spatial velocity patterns. The type-I glaciers show nearly stagnant (&lt;5 m yrˉ1) debris-covered tongues but a maximum velocity of &gt;60 m yrˉ1 in the debris-free accumulation area. The type-II glaciers exhibit active tongues (&gt;50 m yrˉ1) yet have slow movement in the accumulation zone. The type-III glaciers show prolonged (&lt;10 m yrˉ1) yet consistent movement throughout the flow line. Results show that the average surface velocity of studied glaciers was 11.10 ± 4.1 m yrˉ1 in 1992/93, which increased (by ∼43%) to 15.87 ± 2.4 m yrˉ1 in 2000/02 and further increased (by ∼59%) to 25.25 ± 1.5 m yrˉ1 in 2017/18. Glaciers show seasonal fluctuations in surface velocities with an apparent “summer speedup” of ∼19%–200% compared to the winter velocities. Inter-annual velocities show an increasing trend during the observation periods.
DOI: 10.17632/kkf4zdz2x7.1
title: Broad cross-reactivity across sarbecoviruses exhibited by a subset of COVID-19 donor-derived neutralizing antibodies. Jette et al

description: Supplemental Movie for publication Broad cross-reactivity across sarbecoviruses exhibited by a subset of COVID-19 donor-derived neutralizing antibodies by Jette et al 2021
DOI: 10.17632/fc6gkschyt.1
title: Physiochemical Properties of bZIP Transcription Factor Proteins of Grapes.

description: Bio-computational analysis revealed uneven distribution of 58 NAC protein encoding genes through out the plant genome. Bash scripts was used to process and assemble the information under captions TF Name, Peptide Sequence, Length, Aromaticity, GRAVY, pI, M.w and Ins. index. which is given here.
DOI: 10.17632/dcmtjg6g4n.1
title: Physiochemical Properties of MYB Transcription Factor Proteins of Grapes.

description: Bio-computational analysis revealed uneven distribution of 260 MYB protein encoding genes through out the plant genome. Bash scripts was used to process and assemble the information under captions TF Name, Peptide Sequence, Length, Aromaticity, GRAVY, pI, M.w and Ins. index. which is given here.
DOI: 10.17632/2wr275393m.1
title: Supplementary materials for "Hyperhidrosis in Parkinson's disease: a 3-year prospective cohort study"

description: Supplementary materials for "Hyperhidrosis in Parkinson's disease: a 3-year prospective cohort study"
DOI: 10.17632/92jk3fchm2.3
title: This Person Does Not Exist CLIP classification

description: 10000 fake portrait photographs generated with thispersondoesnotexist.com and their probabilistic classification, using CLIP (Contrastive Language–Image Pretraining) according to the following labels: White person/Person of Color, Male/Female, Attractive/Unattractive, Intelligent/Unintelligent, Rich/Poor, Friendly/Unfriendly.
DOI: 10.17632/6vxjf65xgc.1
title: The characteristic dermoscopic features of Stevens–Johnson syndrome and toxic epidermal necrolysis

description: Supplementary Materials Supplemental information Tables: 7 Figures: 4 Supplemental Table I. Demographic data and clinical characteristics Supplemental Table II. Histopathological findings Supplemental Table III. Significant dermoscopic features of Stevens–Johnson syndrome/ toxic epidermal necrolysis identified in univariant and multivariable analysis Supplemental Table IV. Significant dermoscopic features of drug reaction with eosinophilia and systemic symptoms identified in univariant and multivariable analysis Supplemental Table V. Significant dermoscopic features of urticarial vasculitis identified in univariant and multivariable analysis Supplemental Table VI. Significant dermoscopic features of pemphigus vulgaris identified in univariant and multivariable analysis Supplemental Table VII. Significant dermoscopic features of erythema multiforme identified in univariant and multivariable analysis Supplemental Figure 1. The clinical, pathological and dermoscopic pictures of erythema multiforme, Stevens–Johnson syndrome, and toxic epidermal necrolysis Supplemental Figure 2. Clinical and dermoscopic pictures of other mimicking skin diseases Supplemental Figure 3. The progression of SJS/TEN presentation evaluated by contact dermoscopy Supplemental Figure 4. The progression of SJS/TEN presentation evaluated by noncontact dermoscopy
DOI: 10.17632/d56n7mmr2t.4
title: Features of clinical and functional indicators of the eye with diabetic retinopathy

description: The stages of DR were determined according to the severity scale of the Early Treatment Diabetic Retinopathy Study (ETDRS). Before treatment, increased blood flow in the central retinal artery (CRA), was detected in the initial Ia stage of NPDR and a progressive decrease in blood flow in the second Ib and third Ic stage of NPDR. Also, a progressive decrease in blood flow by stages was detected in the short posterior ciliary artery (SPCA). The staging of changes in the blood flow velocity in the central retinal vein (CRV) from 6.5 cm/sec in the Ia stage to 3.5 cm/sec in the Ic stage was revealed, which indicates dilatation of the vein, increasing as retinopathy progresses In the correlation analysis, a moderate negative correlation was found in all groups between peak systolic velocity (PSV) of CRA and severity of diabetic retinopathy (SDR) (r = -0.68;-0.70;-0.45) Analysis of the dynamics of the severity of DR in groups showed a decrease in SDR in the 3rd group, received a solution of tanakan (EGb 761, Beaufour Ipsen Industrie, Paris, France) in the form of endonasal electrophoresis, by 24.1%, while in the 1st and 2nd groups the decrease in SDR was 8.2% and 16.9%, respectively. The results of hemodynamic studies, carried out at different times after treatment, showed significantly increase (p&lt;0.05) in the peak systolic blood flow velocity of the CRA the 3rd group by 42,3%, while in the 1st and 2nd groups, by 6,6% and30,8% respectively. The deviations of retinal photosensitivity from the age norm after 10 days of treatment in the 3rd group statistically significant (p&lt;0.05) decreased by 25% (from 8,03 to 6,0 dB), while in the 1st and 2nd groups only by 16,7% (from 7,8 to 6,5dB) and 21% (from 8,1 to 6,4dB), respectively.
DOI: 10.17632/hkjpmb9gsd.1
title: Data from: Association between physiological performance and short temporal changes in habitat utilisation modulated by environmental factors

description: This dataset comprises all raw data used in Dubuc et al., 2021 published in Marine Environmental Research. For additional information regarding the methods used to calculate the different metabolic variables, please refer to the published article: https://doi.org/10.1016/j.marenvres.2021.105448 Respirometry experiments were run on 4 different fish species to determine their metabolic performance in hypoxia. This excel file provides detailed values obtained for each individual fish tested as follow: Species tested, trial and channel number during experiments, fish mass, standard metabolic rate (SMR), critical oxygen level (O2crit), R2 for the linear regression involved in determining O2crit, index of cumulative ambient oxygen deficit (O2deficit), incipient lethal oxygen level (ILO), actual time at O2crit, actual time at ILO, time to ILO (hour), time to ILO (seconds), maximum oxygen supply capacity (alpha). Additionally, all figures obtained from determining SMR and O2crit using fishMO2 R package (Claireaux & Chabot 2016) are provided for complete transparency.
DOI: 10.5517/ccdc.csd.cc24v8z8
title: CCDC 1991470: Experimental Crystal Structure Determination

description: Related Article: Georgii Nikonov, Anton Dmitrienko, Melanie Pilkington, James F. Britten, Bulat M. Gabidullin, Art van der Est|2020|Angew.Chem.,Int.Ed.|59|16147|doi:10.1002/anie.202005925
DOI: 10.5517/ccdc.csd.cc24v90b
title: CCDC 1991471: Experimental Crystal Structure Determination

description: Related Article: Georgii Nikonov, Anton Dmitrienko, Melanie Pilkington, James F. Britten, Bulat M. Gabidullin, Art van der Est|2020|Angew.Chem.,Int.Ed.|59|16147|doi:10.1002/anie.202005925
DOI: 10.5517/ccdc.csd.cc24v91c
title: CCDC 1991472: Experimental Crystal Structure Determination

description: Related Article: Georgii Nikonov, Anton Dmitrienko, Melanie Pilkington, James F. Britten, Bulat M. Gabidullin, Art van der Est|2020|Angew.Chem.,Int.Ed.|59|16147|doi:10.1002/anie.202005925
DOI: 10.5517/ccdc.csd.cc24v92d
title: CCDC 1991473: Experimental Crystal Structure Determination

description: Related Article: Georgii Nikonov, Anton Dmitrienko, Melanie Pilkington, James F. Britten, Bulat M. Gabidullin, Art van der Est|2020|Angew.Chem.,Int.Ed.|59|16147|doi:10.1002/anie.202005925
DOI: 10.5517/ccdc.csd.cc24v93f
title: CCDC 1991474: Experimental Crystal Structure Determination

description: Related Article: Georgii Nikonov, Anton Dmitrienko, Melanie Pilkington, James F. Britten, Bulat M. Gabidullin, Art van der Est|2020|Angew.Chem.,Int.Ed.|59|16147|doi:10.1002/anie.202005925
DOI: 10.5517/ccdc.csd.cc2518dx
title: CCDC 1997218: Experimental Crystal Structure Determination

description: Related Article: Yue Wang, Koki Ogasahara, Daisuke Tomihama, Radomir Mysliborski, Masatoshi Ishida, Yongseok Hong, Yusuke Notsuka, Yoshihisa Yamaoka, Tomotaka Murayama, Atsuya Muranaka, Masanobu Uchiyama, Shigeki Mori, Yuhsuke Yasutake, Susumu Fukatsu, Dongho Kim, Hiroyuki Furuta|2020|Angew.Chem.,Int.Ed.|59|16161|doi:10.1002/anie.202006026
DOI: 10.5517/ccdc.csd.cc2518fy
title: CCDC 1997219: Experimental Crystal Structure Determination

description: Related Article: Yue Wang, Koki Ogasahara, Daisuke Tomihama, Radomir Mysliborski, Masatoshi Ishida, Yongseok Hong, Yusuke Notsuka, Yoshihisa Yamaoka, Tomotaka Murayama, Atsuya Muranaka, Masanobu Uchiyama, Shigeki Mori, Yuhsuke Yasutake, Susumu Fukatsu, Dongho Kim, Hiroyuki Furuta|2020|Angew.Chem.,Int.Ed.|59|16161|doi:10.1002/anie.202006026
DOI: 10.17632/nn4353y2xx.1
title: G banded metaphase images

description: Access to datasets is vital to research, design and development of machine learning models and algorithms. Machine learning approaches for automated karyotyping system always require metaphase image dataset. The human metaphase images are not easily available for the researches in the field of cytogenetics. With the present contribution, microscopic images of G banded human metaphases are provided and made publicly available to research community. The dataset is prepared from the peripheral blood samples collected from volunteers. Through a series of cytogenetic procedures namely, culturing, harvesting, slide preparation, banding and staining , G banded metaphase images are captured using Leica DM 2500 microscope and Leica DMC 2900 camera. These image data can be used by the researchers basically for automated karyotyping system design and research. Researchers in various image processing and machine learning applications fields such as preprocessing, segmentation, metaphase classification can make use of these images. There are 100 sample images with resolution 2048 * 1536 and bit depth 24 are provided. All images are in .png format.
DOI: 10.6084/m9.figshare.16410502
title: Determining structure and action mechanism of LBF14 by molecular simulation

description: The recently discovered, membrane–active peptide LBF14 contains several non–proteinogenic amino acids and is able to transform vesicles into tubule networks. The exact membrane interaction mechanism and detailed secondary structure are yet to be determined. We performed molecular dynamics simulations of LBF14 and let it fold de novo into its ensemble of native secondary structures. Histidine protonation state effects on secondary structure were investigated. An MD simulation of the peptide with a lipid bilayer was performed. Simulation results were compared to circular dichroism and electron paramagnetic resonance data of previous studies. LBF14 contains a conserved helical section in an otherwise random structure. Helical stability is influenced by histidine protonation. The peptide localized to the polar layer of the membrane, consistent with experimental results. While the overall secondary structure is unaffected by membrane interaction, Ramachandran plot analysis yielded two distinct peptide conformations during membrane interaction. This conformational change was accompanied by residue repositioning within the membrane. LBF14 only affected the local order in the membrane, and had no measurable effect on pressure. The simulation results are consistent with the previously proposed membrane interaction mechanism of LBF14 and can additionally explain the local interaction mechanism. Communicated by Ramaswamy H. Sarma
DOI: 10.15468/yxmp6z
title: Review of the genus Lesteva Latreille, 1797 (Coleoptera: Staphylinidae: Omaliinae: Anthophagini) of Iran and adjacent territories

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shavrin, Alexey V. (2014): Review of the genus Lesteva Latreille, 1797 (Coleoptera: Staphylinidae: Omaliinae: Anthophagini) of Iran and adjacent territories. Zootaxa 3884 (2): 122-140, DOI: http://dx.doi.org/10.11646/zootaxa.3884.2.2
DOI: 10.17632/tsf8b4yj3j.1
title: Changes in retinal photosensitivity in diabetic retinopathy therapy

description: Diabetic retinopathy leads to damage to the neurosensory apparatus of the retina. Already in the nonproliferative stage of DR, the photosensitivity of the retina decreases. Scotomas appear, respectively, of hard exudates, cotton wool spots and retinal hemorrhages. Treatment should aim at improving retinal feeding and function. Therefore, the effectiveness of treatment can be assessed by changing the retinal photosensitivity of using computer perimetry.
DOI: 10.17632/xzdy23nzvj.1
title: VlietBuilding

description: These are historical operational data from a thermally activated test building located in Levuen, Belgium, from 2020-10-21 until 2021-04-20. The data were obtained when controlling the building with a model predictive controller that alternated different controller models during its operation. Additionally, three Python scripts are provided to visualize the experiments, the key performance indicators, and the control prediction deviations. This is a standalone package with no other dependencies than Numpy, Pandas and Matplotlib. The scripts can be run directly to generate the plots. A brief description of the data is provided below: - plant.csv : time-series data for the measurements in the test building during operation. - disturbances.csv : time-series data for the disturbances during operation. This includes weather conditions, pricing, and comfort setpoints. - historical_optimizations.csv : history of all optimization trajectories. Every time step there is a full optimization trajectory during a prediction horizon of two days from that time step. These data are used to compute the controller prediction deviations. - /pred_error : prediction errors obtained as the "a priori" values of the state estimator when using the controller models to predict the temperature with inputs from "plant.csv" and "disturbances.csv". These data are used to compute the n-step-ahead prediction errors. bb, gb, and wb indicate grey-box model, black-box model, and white-box model. The next integer indicates the experiment number. the final integer indicates the prediction horizon in seconds. E.g.: "pred_error_gb_2_86400.csv" contains the prediction errors when using the grey-box model to estimate the temperature with a prediction horizon of one day. - /kpis : Summary of obtained KPIs for each experiment and controller model.
DOI: 10.17632/hfdg5297kc.4
title: An Annotated Dataset for Identifying Behaviour Change Based on Five Doors Theory Under Coral Bleaching Phenomenon on Twitter

description: The data was crawled with specific keywords. Crawling process is done periodically, starting from January 2021 to May 2021. All the data are prepared for labelling process, which were standardized with annotation rubric. The data has been filtered for non-English, relevance, and duplication. Two expert annotators were qualitatively and manually labelling the data according to 5 stages of behaviour change proposed by Robinson. If there was any split decision between two annotators, then the data will be passed into the additional annotator for a majority vote.
DOI: 10.5287/bodleian:ry51b5pox
title: Measurement of localized oxygen extraction fraction in brain using magnetic resonance imaging
DOI: 10.17632/mn3wf6v3wy.1
title: Protein structure homology models of C. elegans wild-type glucose-6-phosphate dehydrogenase and the D60N and R252L mutants

description: This data folder contains protein structure homology models for glucose-6-phosphate dehydrogenase in Caenorhabditis elegans (NCBI:txid6239): GSPD-1 (B0035.5) and two mutants, D60N and R252L. The PDF file contains experimental procedures, references, and the protein structure validation results.
DOI: 10.17632/cdzmpyhsj2.1
title: Data of Indentified Pls-PC and Pls-PE in mouse brain

description: Data of Indentified Pls-PC and Pls-PE in mouse brain Using targeted multiplexed selected reaction monitoring mass spectrometry allow us to determine 55 Pls-PE and 22 Pls-PC
DOI: 10.17632/d6xrhpmzdp.2
title: Data for: High resolution seasonal and decadal inventory of anthropic gas-phase and particle emissions for Argentina

description: This Dataset support the gas-phase and particulate atmospheric emission inventory for Argentina in high spatial resolution (approx. 2.5 km × 2.5 km). This dataset includes the latest revision version of the GEAA-AEIv3.0M inventory. Monthly pollutant emission maps for CO2, CH4, N2O, CO, NOx, NMVOC, NH3, SO2, PM10, PM2.5, TSP and BC between 1995 and 2020 are provided. The emission inventory includes the following sectors: energy production, fugitive emissions from oil and gas production, industrial fuel consumption and production, transport (road, maritime and air), agriculture, livestock production, residential, commercial and biomass burning. The whole dataset has been developed with the porpoise of contributing to various areas of research and governmental assessments, including air quality modeling and decision making, among others.
DOI: 10.17632/wt8m8796nt.1
title: Data for: Geo-mechanics of rock fractures under normal stress and shear displacement

description: This is a simulation dataset for Geo-mechanics of rock fractures under normal stress and shear displacement, which includes the generated fractal surfaces, simulated shear displacement, shear stress and normal displacement results. More information about the data can be found in the manuscript of 'Geo-mechanics of rock fractures under normal stress and shear displacement'.
DOI: 10.17632/fdy8pgtv3b.1
title: Bioconversion of food waste to biocompatible wet-laid fungal films

description: The fungus Rhizopus delemar grown on bread waste, in a submerged cultivation process, was wet-laid into films. The fungal cell wall was isolated by alkali or enzymatic treatments. The biomass was also subjected to a heat treatment to deactivate biological activity. Treated biomass was homogenized by an iterative ultrafine grinding process and finally cast into films by a wet-laid process. Ultrafine grinding improved the densification of films and they showed tensile strengths of up to 18.1 MPa, a Young’s modulus of 2.3 GPa and a strain at break of 1.4%. Alkali treatment resulted highest tensile strength, with SEM images showing a dense and highly organized structure. In contrast, enzymatic or heat treatments resulted in films with less organized structures. Biocompatibility of fungal films was confirmed by a cell viability assay and fluorescent staining.
DOI: 10.17632/2sp38s8y3b.2
title: A dataset of variety and location effect on optimization of row spacing, in North Gondar, Ethiopia

description: Malt barley is among the priority commodity crops that have attracted the attention of policymakers in Ethiopia. A lot of effort has been exerted to improve malt barley production through strengthening malt barley research and scaling up the available agronomic-like technologies. Despite all efforts, however, productivity is much below the potential due to traditional systems of land management, poor agronomic practices, lack of high-quality seeds of improved varieties. We, therefore, conducted a field experiment to evaluate malt barley varieties under a range of inter-row spacing and two mega environments in northern Gondar for their yield and associated traits. The data presented under this article includes Phenological traits, yield and yield components such as days to 50% heading, days to 90% physiological maturity, seeds spike, spike length, number of effective tillers, 1000-seed weight, grain yield, total aboveground biomass yield, and straw yield. The experimental factors considered in our experiment includes two divergence growing environments (Miligebsa and Kino), six malt barley varieties (i.e., Holker, HB1963, Sabine, Ibone174/03, EH1847, and Freygebse), and four levels of inter-row spacing such as 20, 25, and 30 cm. During the experimentation, all experimental plots received uniform agronomic practices such as weeding, fertilizer application, harvesting, and trashing. The analyzed result showed an important interaction among the imposed factors. It was found that optimization of row spacing has been found to be dictated by location and varietal difference. On the basis of the result, it can be universally concluded that 25cm row spacing combined with the varieties “HB1963,” “Hollker,” and “Sabine” was found to be optimum for maximum yielding potential under a potential environment (Miligebsa). This information can allow other researchers to review our data, methods, and analysis in detail, possibly giving rise to new lines of inquiry. This can also give rise to new collaborations and boost the reputation of this research result within the community. therefore, this dataset is aimed to prepare a dataset collected from an intensive malt barley field experiment for public use and to make the raw data available to everyone to use as they wish.
DOI: 10.17632/4k64fwnp4k.2
title: Deep-learning-based Segmentation of Fundus Photographs to Detect Central Serous Chorioretinopathy

description: We developed a pix2pix deep learning model for segmentation of subretinal fluid area in fundus photographs to detect central serous chorioretinopathy (CSC). The dataset include fundus photographs and segmentation images from 105 eyes with CSC and 40 healthy eyes. We retrospectively reviewed the medical records and multimodal images of a total of 115 images of patients with had CSC at Aerospace Medical Center and from publicly accessible databases. Finally, the total dataset includes fundus photographs and segmentation images from 115 eyes with CSC and 40 healthy eyes from the medical center and publicly accessible datasets. The reference segmentation for subretinal fluid area was performed manually by an expert ophthalmologist. First, the user should upload "pix2pix_csc_segmentation.ipynb" file in the Google drive. And open the file in the Google drive page. Second, please link the datasets to this colab notebook using Google drive. For example, we save the training dataset at "csc/segmentation/seg_pix/" (in the example.zip file) and the test dataset at "csc/segmentation/seg_pix_test/" (in the example.zip file, too). Third, run the codes in Google Colab by clicking buttons.
DOI: 10.17632/ytn823rw8j.3
title: Clip #12

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.