cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/srtrdx9766.1
title: Increased coral biomineralization due to enhanced symbiotic activity upon volcanic ash exposure - dataset

description: Abstract
Coral reefs, which are among the most productive ecosystems on earth, are in global decline due to rapid climate change and associated ocean-warming. Volcanic activity also results in extreme environmental changes at local to global scales, and may have the greatest impact on coral reefs compared to other natural disturbances. During explosive eruptions, large amounts of volcanic ash are generated, significantly disrupting ecosystems close to a volcano, and depositing ash over distal areas (10s to 1000s of km depending on eruption size, wind intensity, and direction). Once volcanic ash interacts with seawater, the dissolution of metals leads to a rapid change in the geochemical properties of the seawater column. Here, we report the first known effects of volcanic ash on the physiology of a symbiotic scleractinian coral under laboratory conditions. Nubbins of the branching coral Stylophora pistillata were reared in aquaria under controlled conditions (light intensity, temperature, and pH), while environmental parameters, effective quantum yield, and skeletal growth rate were monitored. Half the aquaria were exposed to volcanic ash every other day for 6 weeks (250 mg L-1 week-1), which induced significant changes in the fluorescence-derived photochemical parameters (ΦPSII, Fv/Fm, NPQ, rETR), directly enhanced the efficiency of symbiont photosynthesis (Pg, Pn), and lead to enhanced biomineralization rates. Enhancement of symbiont photosynthesis is likely induced by the supply of essential metals, derived from volcanic ash leaching. The beneficial role of volcanic ash as an important micronutrient source is supported by the fact that neither photophysiological stress nor signs of lipid peroxidation or protein damage were detected. The implication of this beneficial interaction remains to be tested for the more complex coral reef ecosystem as it holds the potential to offset external stresses such as those caused by climate change, or volcanic eruptions themselves.
DOI: 10.17632/srtrdx9766.2
title: Increased coral biomineralization due to enhanced symbiotic activity upon volcanic ash exposure - dataset

description: Abstract: Coral reefs, which are among the most productive ecosystems on earth, are in global decline due to rapid climate change. Volcanic activity also results in extreme environmental changes at local to global scales, and may have significant impacts on coral reefs compared to other natural disturbances. During explosive eruptions, large amounts of volcanic ash are generated, significantly disrupting ecosystems close to a volcano, and depositing ash over distal areas (10s - 1000s of km depending on i.a. eruption size and wind direction). Once volcanic ash interacts with seawater, the dissolution of metals leads to a rapid change in the geochemical properties of the seawater column. Here, we report the first known effects of volcanic ash on the physiology and elemental cycling of a symbiotic scleractinian coral under laboratory conditions. Nubbins of the branching coral Stylophora pistillata were reared in aquaria under controlled conditions (insolation, temperature, and pH), while environmental parameters, effective quantum yield, and skeletal growth rate were monitored. Half the aquaria were exposed to volcanic ash every other day for 6 weeks (250 mg L-1 week-1), which induced significant changes in the fluorescence-derived photochemical parameters (ΦPSII, Fv/Fm, NPQ, rETR), directly enhanced the efficiency of symbiont photosynthesis (Pg, Pn), and lead to increased biomineralization rates. Enhancement of symbiont photosynthesis is induced by the supply of essential metals, derived from volcanic ash leaching in ambient seawater or within the organism following ingestion. The beneficial role of volcanic ash as an important micronutrient source is supported by the fact that neither photophysiological stress nor signs of lipid peroxidation were detected. Subaerial volcanism affects micronutrient cycling in the coral ecosystem, but the implication for coral ecophysiology on a reef scale remains to be tested. Nevertheless, exposure to volcanic ash can improve coral health and thus influence resilience to external stressors.
DOI: 10.17632/jwcr4nwvdn.1
title: Indoor fire threat situation dataset

description: The dataset was created using Pyrosim, and each table in the compressed package represents a simulation result. Among them, for example, T-12-09 represents a point with coordinates (12, 9), 0 represents that it is currently safe, and 1 represents that it is currently dangerous. Heat-01 represents the first temperature sensor data in the scene, and Smoke-01 represents the first smoke sensor data in the scene.
DOI: 10.17632/zsfz3chjzj.1
title: Side Profile Vehicle Binary Images

description: This is a dataset of vehicle's binary images obtained with an optical barrier. The main goal off this dataset is to train and test a vehicle classification method. Categories are defined according to the number of axles and the presence of double wheel or not. (See the vehicle_categories.png) This dataset is composed by 3 folders. Train: Images used to train a CNN. (Over 1000 images/cat) Total of 11232 images. Experiment1: Images used to validate.5389 images. Experiment2: Field test. Four days off images. 196018 images. Train and Experiment1 are selected images from the same lane, in different periods over 3 months. Experiment2 has images from several different lanes, and 3 different toll stations. We do not delete any image in this set.
DOI: 10.17632/zsfz3chjzj.3
title: Side Profile Vehicle Binary Images

description: This is a dataset of vehicle's binary images obtained with an optical barrier. The main goal off this dataset is to train and test a vehicle classification method. Categories are defined according to the number of axles and the presence of double wheel or not. (See the vehicle_categories.png) This dataset is composed by 3 folders. Train: Images used to train a CNN. (Over 1000 images/cat) Total of 11232 images. Experiment1: Images used to validate.5389 images. Experiment2: Field test. Four days off images. 196018 images. Train and Experiment1 are selected images from the same lane, in different periods over 3 months. Experiment2 has images from several different lanes, and 3 different toll stations. We do not delete any image in this set.
DOI: 10.17632/zyds7t4pst.1
title: Pixel class probabilities investigations data

description: # Pixel class probabilities investigations data These data are associated with the manuscript: Land cover pixel class probabilities create customizable layers for forested and urban landscapes Daniel T. Myers1* (ORCID 0000-0002-1932-5775), Diana Oviedo-Vargas1, Melinda Daniels1, Yog Aryal2 1 Stroud Water Research Center, 970 Spencer Road, Avondale, Pennsylvania 19311, USA 2 Department of Geography, Indiana University Bloomington, Student Building 120, 701 E. Kirkwood Avenue, Bloomington, IN 47405, USA * Corresponding author (dmyers@stroudcenter.org) They can be analyzed using the following scripts: https://github.com/Danmyers901/Calibration/tree/master/Pixel_class_probabilities Our data includes water quality measurements from the United States National Park Service, and remotely sensed landcover images from Dynamic World. Water quality data were downloaded from the Water Quality Portal at https://www.waterqualitydata.us/ using the Project ID search term “NCRNWQ01”. Brown, C. F. et al. Dynamic World, Near real-time global 10 m land use land cover mapping. Scientific Data 2022 9:1 9, 1–17 (2022). Norris, M., Pieper, J., Watts, T. & Cattani, A. National Capital Region Network Inventory and Monitoring Program Water Chemistry and Quantity Monitoring Protocol Version 2.0 Water chemistry, nutrient dynamics, and surface water dynamics vital signs. Natural Resource Report NPS/NCRN/NRR—2011/423 (2011). References for other data sources and packages we used for model development and analyses are below: III, K. G. R. et al. StreamStats, version 4. Fact Sheet (2017) doi:10.3133/FS20173046. Jin, S. et al. Overall Methodology Design for the United States National Land Cover Database 2016 Products. Remote Sensing 2019, Vol. 11, Page 2971 11, 2971 (2019). Lindsay, J. B. The Whitebox Geospatial Analysis Tools Project and Open-Access GIS. (2022). United States Department of Agriculture. National Agriculture Imagery Program (NAIP) - Catalog. https://catalog.data.gov/dataset/national-agriculture-imagery-program-naip. For more information contact: Dan Myers, PhD Postdoctoral Associate Stroud Water Research Center 970 Spencer Road, Avondale, PA 19311 610-268-2153 ext. 1274 dmyers@stroudcenter.org www.stroudcenter.org
DOI: 10.17632/shn4pgm7jx.1
title: Bangla Vowels-Consonants Pronunciation Image Dataset

description: This dataset is an initial step of recognizing Bangla vowels from consonant pronunciation images. There is no audio involved and the classification should be made only using the images.
DOI: 10.6084/m9.figshare.24486394
title: Supplementary Material for: Refractive management of surgical induced presbyopia in a young patient with vision-related quality of life complaints

description: Visual difficulties can negatively impact life quality. A 32-years-old woman, submitted to phacoemulsification with implantation of a monofocal intraocular lens (IOL) and Nd:YAG LASER posterior capsulotomy three years before, due to congenital cataracts, was referred to the Refractive Surgery Unit of Centro Hospitalar Universitário de Santo António. She had mixed astigmatism (+1.00-4.00x10°in the right eye and +0.50-1.75x180°in the left eye) and surgical-induced presbyopia, was intolerant to contact lenses, and felt that her vision significantly impaired her life quality. A trifocal Sulcoflex® (Rayner) IOL was implanted to correct the spherical and near refractive errors. In a second surgical time, a photorefractive keratectomy was performed to correct the residual astigmatism (-3.50x10º in the right eye and -1.50x170º in the left eye). In the last visit, distance and near uncorrected visual acuity were 20/20 (Snellen) and Jaeger 1, respectively, in both eyes, and the patient was very satisfied. When assessing the surgical options of young, working-age patients, clinicians should, when possible, consider alternative solutions to monofocal IOLs. In this patient, the combination of corneal and intraocular procedures allowed the correction of both the distance and near refractive errors, with a subsequent significant improvement in the patient’s quality of life.
DOI: 10.6084/m9.figshare.24487051
title: Supplementary Material for: A Case of Dellen Formation Following 27-Gauge Vitrectomy with Rapid Improvement by Scleral and Conjunctival Sutures

description: Dellen is a corneal disease characterized by shallow, saucer-like excavations at the corneal margin. Herein, we presented a case of dellen formation that developed following a 27-gauge pars plana vitrectomy (PPV) and was rapidly resolved using scleral and conjunctival sutures. A 73-year-old woman underwent a 27-gauge PPV for the epiretinal membrane of the right eye. Intraoperatively, owing to coexisting diabetic retinopathy, the peripheral vitreous was shaved, and retinal photocoagulation was performed on the peripheral retina. The intraocular pressure (IOP) was 15 mmHg on one day after the PPV and on postoperative day 4; however, on day 14, the IOP decreased to 10 mmHg, and conjunctival bleb formation was observed. By day 18, the bleb height remained unchanged, and dellen formation was noted at the corneal periphery. Because of marked corneal thinning, conjunctival and scleral sutures were placed 20 days following the PPV. Intraoperative findings revealed leakage from the scleral wound at the trocar puncture site. The IOP increased to 20 mmHg at 19 h following the suture resulting in the disappearance of the bleb and dellen. Since then, the bleb or dellen did not recur. In conclusion, we encountered a case of late-onset scleral wound cleavage 2 weeks following microincision vitreous surgery, resulting in bleb and dellen formation, which was immediately managed by the scleral and conjunctiva suturing.
DOI: 10.17632/k6jcy7cjs2.1
title: Raw dataset with accelerometer, magnetometer and gyroscope data related to Ten Meter Walk Test in Center of Portugal

description: This dataset consists in 28 captures related to accelerometer, magnetometer and gyroscope data during the performance of Ten Meter Walk Test in center of Portugal.
DOI: 10.17632/k6jcy7cjs2.2
title: Raw dataset with accelerometer, magnetometer and gyroscope data related to Ten Meter Walk Test in Center of Portugal

description: This dataset consists in 208 captures related to accelerometer, magnetometer and gyroscope data during the performance of Ten Meter Walk Test in center of Portugal.
DOI: 10.17632/k6jcy7cjs2.3
title: Raw dataset with accelerometer, magnetometer and gyroscope data related to Ten Meter Walk Test in Center of Portugal

description: This dataset consists in 208 captures related to accelerometer, magnetometer and gyroscope data during the performance of Ten Meter Walk Test in center of Portugal.
DOI: 10.17632/68tym5fx9t.1
title: Interview with ChatGPT 3.5 on the Integration of GenAI tools into Experiential Learning for Authentic Assessment

description: This interview delves into the integration of GenAI tools into Experiential Learning activities for Authentic Assessment, as explained by Chat GPT 3.5.
DOI: 10.17632/68tym5fx9t.2
title: Interview with ChatGPT 3.5 on the Integration of GenAI tools into Experiential Learning for Authentic Assessment

description: This interview delves into the integration of GenAI tools into Experiential Learning activities for Authentic Assessment, as explained by Chat GPT 3.5.
DOI: 10.17632/gpmwyfhbp3.2
title: Dataset for metagenomic analysis of bacterial community grown in sediments contaminated with pulp paper mill waste pollutants

description: Pulp and paper mills (PPMs) generate complex and recalcitrant chlorolignin pollutants in their waste stream, posing a significant environmental and health threat. To understand how microbial communities can help in the clean-up of chlorolignin waste discharged from PPMs, two sediment samples, i.e., PPS-1 and PPS-2, were collected from two sites (site-1 and site-2) to examine chemical contaminants and their effects on indigenous bacterial communities. Physicochemical and GC-MS analysis of sediment samples revealed the presence of heavy and various organic refractory and toxic pollutants. Simultaneously, high-throughput sequencing of the V3–V4 hypervariable region of the 16S rRNA genes of metagenome extracted from sediment samples, was conducted on the Illumina MiSeq platform. This dataset consists of raw sequencing data (fastq) analysis reports, pie charts, and barplots. In addition, it also consists of the analyzed rarefaction curve, heat map, and Krona chart. Taxonomic analysis of metagenomic sequence data revealed that Proteobacteria dominated both PPS-1 and PPS-2 at the phylum level. At the genus level, Thiobacillus was the most prevalent in sediment samples. These results highlight substantial differences in bacterial community diversity and taxonomic abundance between PPS-1 and PPS-2. This research offers valuable insights into the characteristics of contaminants, shifts in microbial communities, and their potential functions in chlorolignin waste-polluted sites.
DOI: 10.17632/sgdyy3nh6w.1
title: 13 years of Laryngeal Tweets

description: 13 years of Laryngeal Tweets extracted from Twitter
DOI: 10.17632/scnxzhgj83.1
title: Meenal-Airwriting_Devanagari_English_numeral_dataset

description: The real-time air-writing multilingual datasets are widely used for several purposes, such as handwriting character or numeral pattern recognition. The air-writing systems are commonly used in operation theatres, online education systems, banking sectors, reservation counters, etc. However, the air-written numeral datasets are less for Devanagari and English languages needed for detecting patterns. Therefore, the present article introduces novel datasets written in the air for Devanagari and English. In addition, this article proposes a systematic novel strategy to collect the air-written multilingual numeral dataset from 100 individuals ranging in 20-40 age groups. The Devanagari and English 0-9 digits were ten times written in the air by every individual resulting in 10000 images for each language. Thus, 20000 images were generated and stored in the databases. The proposed dataset is freely available and could be a good resource for pattern recognition research.
DOI: 10.17632/scnxzhgj83.2
title: Meenal-Airwriting_Devanagari_English_numeral_dataset

description: The real-time air-writing multilingual datasets are widely used for several purposes, such as handwriting character or numeral pattern recognition. The air-writing systems are commonly used in operation theatres, online education systems, banking sectors, reservation counters, etc. However, the air-written numeral datasets are less for Devanagari and English languages needed for detecting patterns. Therefore, the present article introduces novel datasets written in the air for Devanagari and English. In addition, this article proposes a systematic novel strategy to collect the air-written multilingual numeral dataset from 100 individuals ranging in 20-40 age groups. The Devanagari and English 0-9 digits were ten times written in the air by every individual resulting in 10000 images for each language. Thus, 20000 images were generated and stored in the databases. The proposed dataset is freely available and could be a good resource for pattern recognition research.
DOI: 10.6084/m9.figshare.24297877
title: Supplementary Material for: The causal effect of obesity on the risk of 15 autoimmune diseases: a Mendelian randomization study

description: Introduction: Observational studies have shown that obesity is a risk factor for various autoimmune diseases. However, the causal relationship between obesity and autoimmune diseases is unclear. Mendelian randomization (MR) was used to investigate the causal effects of obesity on 15 autoimmune diseases. Methods: MR analysis employed instrumental variables, specifically single nucleotide polymorphisms associated with obesity measures such as body mass index (BMI), waist circumference, hip circumference, and waist-to-hip ratio. The study utilized UK Biobank and FinnGen data to estimate the causal relationship between obesity and autoimmune diseases. Results: Genetically predicted BMI was associated with risk for five autoimmune diseases. The odds ratio per 1-SD increase in genetically predicted BMI, the OR was 1.28 (95% CI, 1.18–1.09; P&lt;0.001) for asthma, 1.37 (95% CI, 1.24–1.51; P&lt;0.001) for hypothyroidism, 1.52 (95% CI, 1.27–1.83; P&lt;0.001) for psoriasis, 1.22 (95% CI, 1.06–1.40; P=0.005) for rheumatoid arthritis, and 1.55 (95% CI, 1.32–1.83; P&lt;0.001) for type 1 diabetes. However, after adjusting for genetic susceptibility to drinking and smoking, the correlation between BMI and rheumatoid arthritis was not statistically significant. Genetically predicted waist circumference, hip circumference, and waist and hip circumference were associated with 6, 6, and 1 autoimmune disease, respectively. Conclusion: This study suggests that obesity may be associated with an increased risk of several autoimmune diseases, such as asthma, hypothyroidism, psoriasis, rheumatoid arthritis, and type 1 diabetes.
DOI: 10.6084/m9.figshare.24476650
title: Supplementary Material for: Sex difference in the association between depression and adherence to recommended dilated eye examinations among patients with diabetes: Findings from National Health and Nutrition Examination Survey

description: Introduction: The relationship between depression and adherence to regular dilated fundus examination (DFE) in patients with diabetes remains unclear. This study aimed to assess the association between depression and adherence to annual or biennial DFE among individuals with diabetes. Methods: In this cross-sectional study, we used the National Health and Nutrition Examination Survey database from 2005 to 2016 which contains information on demographics, clinical characteristics, health-related factors, and the time since last DFE. Participants were classified as having depression based on a score of &gt; 9 on the Patient Health Questionnaire-9. The main outcomes were the association between depression and the adherence of patients with diabetes to annual or biennial DFE. The second objective was to explore the potential influence of gender in this association. The independent association of depression with DFE compliance was explored by a series of multivariate logistic regression analyses (overall sample and then stratified by sex). Results: In total, 3656 eligible participants were identified. The adherence rates to annual or biennial DFE were all higher for participants without depression than those with depression (64.8% vs. 56.1% and 80.3% vs. 69.7%, respectively). In the multivariate analyses, depression was neither independently associated with the adherence to annual DFE nor biennial DFE in the overall sample. An interaction was observed between depression and gender for the adherence to annual or biennial DFE (p = 0.017 and p = 0.026, respectively). When analyses were stratified by sex, female patients with diabetes and depression had a significantly increased odds ratio (OR) of being nonadherent to annual and biennial DFE (OR = 1.52, 95% confidence interval [CI], 1.02–2.25, p = 0.039; OR = 1.55, 95% CI, 1.02–2.35, p = 0.039, respectively). However, this relationship was not evident in men with diabetes. Conclusions: The independent association between depression and DFE compliance varied by sex, that is, only female patients with diabetes and depression were at a higher risk of nonadherence to annual or biennial DFE compared to those without depression.