cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5124715.v1
title: Supplementary Material for: A Comparison of Schemas, Schema Modes and Childhood Traumas in Obsessive-Compulsive Disorder, Chronic Pain Disorder and Eating Disorders

description: <b><i>Background:</i></b> In this study, we investigated early maladaptive schemas (EMS), schema modes and childhood traumas in patients suffering from obsessive-compulsive disorder (OCD) in contrast to patients with other Axis I disorders. Based on cognitive theories on OCD, our main research question was whether schemas belonging to the domain of ‘impaired autonomy and performance' are more prevalent in OCD than in both eating disorders (ED) and chronic pain disorder (CPD). <b><i>Sampling and Methods:</i></b> EMS, schema modes and traumatic childhood experiences were measured in 60 patients with OCD, 41 with ED, 40 with CPD and 142 healthy controls. To analyze differences between the groups, MANCOVAs were conducted followed by deviation contrasts. Depression level, age and gender were considered as possible covariates. <b><i>Results:</i></b> OCD patients scored higher on 4 EMS, 2 of which belong to the domain ‘impaired autonomy and performance'. ED patients had higher scores in the EMS ‘emotional inhibition' and CPD patients on the Childhood Trauma Questionnaire subscale ‘physical neglect'. <b><i>Conclusions:</i></b> These results suggest that there might be typical schema patterns associated with OCD and ED. We can also conclude that a higher prevalence of traumatic experiences does not necessarily coincide with more EMS and schema modes.
DOI: 10.17632/6s9c8wp3mv
title: Western blotting membranes

description: The original figures of Western blotting membranes are provided here.
DOI: 10.17632/8s73jfvgr5
title: Fish Health and Water Quality Monitoring Dataset (Montería, 2024) – Tilapia (Oreochromis niloticus)

description: This dataset contains six months of water quality and fish health monitoring data collected from aquaculture ponds in Montería, Colombia. The dataset focuses on tilapia (Oreochromis niloticus), using an IoT-based system to monitor critical parameters such as dissolved oxygen (DO), pH, water temperature, and turbidity. Fish health indicators, including average fish weight and survival rate, are also recorded.

The data was collected from January to June 2024, with readings taken every 6 hours to capture daily fluctuations and ensure comprehensive monitoring of water conditions and fish health.

---

Files Included:

1. Data Model IoTMLCQ 2024.xlsx
 - Contains sensor readings and fish health data collected over six months.
 - Columns:
 - Month: Data collection month (January to June).
 - Average Fish Weight (g): The average weight of the tilapia fish in grams.
 - Survival Rate (%): Percentage of fish survival during the monitoring period.
 - Disease Occurrence (Cases): Number of disease cases observed.
 - Temperature (°C): Water temperature readings.
 - Dissolved Oxygen (mg/L): Levels of dissolved oxygen in the water.
 - pH: Water pH values.
 - Turbidity (NTU): Water turbidity measured in Nephelometric Turbidity Units (NTU).
 - Oxygenation Interventions: Whether oxygenation was applied (Yes/No).
 - Corrective Interventions: Number of corrective measures taken.

---

Data Collection Method:

The data was collected using IoT sensors strategically placed in the aquaculture ponds. Readings were taken every 6 hours throughout the monitoring period. This dataset provides valuable insights into the relationship between water quality parameters and the health of Tilapia (Oreochromis niloticus).

---

Usage Notes:

- This dataset can be used for research in aquaculture management, water quality monitoring, and predictive modeling of fish health and growth.
- Missing data due to sensor or communication failures were addressed using interpolation methods.
- Regular sensor calibrations were performed to ensure accuracy in the collected data.

---
DOI: 10.17632/mtcdtjhy5b
title: Kaplan-Mayer endocrine event free survival curve in NF1 children post OPGs diagnosis

description: Endocrine event free survival declined up to 8 years post OPGs diagnosis in children with NF1
DOI: 10.25405/data.ncl.19688040.v3
title: Comparative sentiment analysis (SA) of original Twitter data posted in English about the 10th anniversary of the 2010 Haiti Earthquake

description: This dataset contains the sentiment analysis (SA) of original tweets posted in English by users related to the 10th anniversary of the 2010 Haitian earthquake. Tweets are classified according to their polarity or not related. This classification includes supervised and unsupervised classification. This dataset compares the accuracy (ACC) of three tools for unsupervised text classification: a no-code machine learning (ML) classification platform: ‘MonkeyLearn’ and two trained models finetuned for SA: ‘troberta’ and ‘btweet’. These last ones are language models based on RoBERTa (https://aclanthology.org/2020.findings-emnlp.148/) and BERTweet (https://aclanthology.org/2020.emnlp-demos.2/) architecture, respectively. Both models are available in the platform: Hugging Face. The first author performed the supervised classification and trained the tweets on the MonkeyLearn platform at the tweet level using samples of 1, 5 and 10 per cent of the tweets in the dataset (excluded to test ACC in the prediction). This supervised classification is compared to the unsupervised classification performed by ‘MonkeyLearn’, ‘troberta’ and ‘btweet’. We can observe that the average confidence in the classification increase with the number of trained tweets in the case of ‘MonkeyLearn’ (0.39, 0.56 and 0.64) while the average confidence in their own classification by troberta (0.89) and btweet (0.92) is very high and higher than MonkeyLearn’s average confidence.
DOI: 10.6084/m9.figshare.20400729.v1
title: Leech genomes

description: genome sequences and gene annotation of three leeches
DOI: 10.17632/6hhtgxb324
title: Renewable energy production

description: These are the data for the paper entitled Effects of policy induced uncertainty and geopolitical risk on renewable energy production: Econometric analysis
DOI: 10.17632/ktng4899ds
title: Fecal pollution source tracking and thalassogenic diseases: the temporal-spatial concordance between maximum concentrations of human mitochondrial DNA in seawater and Hepatitis A outbreaks among a coastal population
DOI: 10.6084/m9.figshare.22354588.v2
title: Ensemble Predictions for TDC BBB-Martins Leaderboard

description: Ensemble predictions for a drugs ability to penetrate the blood brain barrier using Therapeutic Data Commons BBB-Martins dataset. <br> Includes .tsv files with the actual and predicted classifications of BBB permeability for each drug in the TDC test set using a Ensemble model that takes validation set predictions from Logistic Regression and Deep Neural Network models as base learners. Note that a vlassification label of 0 means not-permeable and a label of 1 means the drug is BBB permeable.
DOI: 10.6084/m9.figshare.27252612.v12
title: Supplementary File 2

description: Psychological interventions for women with polycystic ovary syndrome (PCOS): A systematic review and meta-analysis of randomised and non-randomised controlled trials. Supplementary File 2.
DOI: 10.6084/m9.figshare.29135147.v1
title: <b>Exploring the Gender Gap in Technology Access and Its Impact on Academic and Career Readiness Among Undergraduate Students in Bangladesh</b>

description: This repository includes:A dataset file (.sav) containing survey data on gender-based disparities in technology access among undergraduate students in Bangladesh.A codebook that describes each variable, coding schema, and survey structure.
DOI: 10.6084/m9.figshare.3468908.v1
title: Supplementary Material for: Selective COX-2 Inhibition Exerts No Negative Effects on Peripheral Blood Lymphocytes in Allergic Asthmatics

description: <b><i>Background:</i></b> Selective inhibition of cyclooxygenase-2 (COX-2) reduces the production of prostaglandin E<sub>2</sub> (PGE<sub>2</sub>), which can have both pro- and anti-inflammatory effects on allergic inflammation. Moreover, in vitro PGE<sub>2</sub> has been shown to affect inflammation through the modulation of lymphocyte responses. <b><i>Methods:</i></b> Sixteen subjects with mild allergic asthma were recruited to a two-period cross-over study: one treatment period with the selective COX-2 inhibitor etoricoxib and one without. Each treatment period ended with an airway challenge with the patient's relevant allergen. Antigen-specific proliferation with the major cat allergen, Fel d 1, was analysed in PBMCs. CD4+ T cells were phenotyped using flow cytometry, and mRNA expression of FOXP3 in anti-CD3-stimulated CD4+ cells were analysed. <b><i>Results:</i></b> No significant impact of in vivo inhibition of COX-2 was detected on the proportion of Th1, Th2, or Treg cells in peripheral blood. Likewise, the treatment had minor effects on the stimulated expression of FOXP3 mRNA in CD4+ T cells. Proliferation of PBMCs to the major cat allergen Fel d 1 was slightly reduced by etoricoxib treatment in cat-allergic patients. <b><i>Conclusions:</i></b> Short-term treatment with the COX-2 inhibitor etoricoxib had a minor impact on T-cell responses, supporting its safe use also in subjects exposed to triggers of lymphocyte activation.
DOI: 10.6084/m9.figshare.7636697.v3
title: Single-shot 3D shape reconstruction datasets

description: If you use the datasets for your research, please cite our papers below in your publication:<br><br>H. Nguyen, Y. Wang, and Z. Wang, “Single-Shot 3D Shape Reconstruction Using Structured Light and Deep Convolutional Neural Networks” <i><b>Sensors </b></i>20(13), 3718, 2020.<br>H. Nguyen, T. Tran, Y. Wang, and Z. Wang, "Three-dimensional Shape Reconstruction from Single-shot Speckle Image Using Deep Convolutional Neural Networks" <b><i>Optics and Lasers in Engineering</i> </b>143, 106639, 2021.<br><br>The datasets include the data and sample code, please email me (29nguyen@cua.edu) if you have any concerns.<br>
DOI: 10.6084/m9.figshare.11636748.v7
title: A standardized and reproducible method to measure decision-making in mice: Data

description: Behavioral data associated with the IBL paper: <i>A standardized and reproducible method to measure decision-making in mice.</i><i><br></i>This data set contains contains 3 million choices 101 mice across seven laboratories at six different research institutions in three countries obtained during a perceptual decision making task.<i><br></i>When citing this data, please also cite the associated paper: https://doi.org/10.1101/2020.01.17.909838<br>This data can also be accessed using DataJoint and web browser tools at data.internationalbrainlab.org<br>Additionally, we provide a Binder hosted interactive Jupyter notebook showing how to access the data via the Open Neurophysiology Environment (ONE) interface in Python : https://mybinder.org/v2/gh/int-brain-lab/paper-behavior-binder/master?filepath=one_example.ipynb<br>For more information about the International Brain Laboratory please see our website: www.internationalbrainlab.com<br><i><b>Beta Disclaimer.</b> Please note that this is a beta version of the IBL dataset, which is still undergoing final quality checks. If you find any issues or inconsistencies in the data, please contact us at info+behavior@internationalbrainlab.org .</i><br>
DOI: 10.6084/m9.figshare.1328400.v3
title: Filling in the gaps

description: Species distributions are poorly known and derived from spatially biased occurrence records. This lack of information is termed the Wallacean Shortfall. Two sources of error in our knowledge of species distributions are false absences (omission errors) and false presences (commission errors) . This uncertainty limits our process-based understanding of species distributions and is an obstacle to assessing species conservation status, monitoring temporal trends and designing reserve networks. Here we employ a method which allows species occurrence records to be modelled at the spatial grain at which they were collected (Beale et al. 2014). Instead of coarsening fine-grain records to minimise false-absences, the relationship between recording intensity and detection probability is modelled to account for the spatial variation in recording intensity that is inherent in opportunistic data. We apply this method to the Brindled Green moth, a species whose distribution is widespread but under-recorded in the British Isles, with many gaps in the known distribution at grains &lt;100km2 grain.
DOI: 10.6084/m9.figshare.1425362.v7
title: Author Insights 2015 survey

description: The annual Author Insights Survey, run by Nature Publishing Group (NPG) and our sister company Palgrave Macmillan forms part of a wider research programme which aims to understand general author attitudes and behaviours around publishing, to track any changes over time. The survey enables us to provide the best service for our authors, and keeps us close to the views of our community. The survey is conducted for internal purposes each year to provide longitudinal data and track changes in attitudes and behaviours. This year’s survey included questions on topics as diverse as factors that contribute to a journal’s reputation, the value of services offered by publishers and authors’ ideal audiences for their research. Demographic questions were also included in the survey to enable analysis by fields such as region and discipline.
DOI: 10.6084/m9.figshare.14684073.v1
title: East Micronesia Benthic Type Reference Sample

description: This benthic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled with one of seven coral reef benthic classes that include Microalgal Mats, Coral/Algae, Rubble, Rock, Seagrass Dense, Seagrass Sparse, Sand.<br> <b>Please cite data as:</b> Borrego-Acevedo, R., Canto, R., Harris, D., Kennedy, E., Kovacs, E., Lyons, M., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., C., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2021. East Micronesia Benthic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.14684073 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Katherine Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.22086119.v2
title: Interaction of TF and genes

description: Interaction of TF and genes
DOI: 10.6084/m9.figshare.25971784.v2
title: <b>A high-quality </b><b>Chromosome-level</b><b> reference genome assembly of white-lipped deer (</b><b><i>Przewalskium albirostris</i></b><b>)</b>

description: <b>A high-quality </b><b>Chromosome-level</b><b> reference genome assembly of white-lipped deer (</b><b><i>Przewalskium albirostris</i></b><b>)</b>Structural annotation and functional annotation files for genomesRepetitive sequences of the genome
DOI: 10.6084/m9.figshare.c.3696334_d19.v1
title: Additional file 21: Table S18. of Genomic insights into divergence and dual domestication of cultivated allotetraploid cottons

description: Gene expression level of 1058 genes identified in 109 selection sweeps. (XLSX 345 kb)
DOI: 10.6084/m9.figshare.20025634.v1
title: Readability as a measure of textual complexity: determinants and evidence in Brazilian companies

description: ABSTRACT The aim of this article was to evaluate the effect of company earnings and of harmonization with IFRS on the readability of Management Reports in the Brazilian stock market. There is a gap to be filled both in the elaboration and adaptation of readability measures to the context studied, as the studies tend to replicate the original formulas, and in identifying the determinants of the readability of Brazilian company reports, as the research in this field remains in its infancy and the results are inconclusive. The results provide indications for investors to identify complex textual information and may help public policymakers to establish a simple writing manual, along the lines of the SEC’s 1998 Plain English Handbook. The modified metrics and the one developed overcome the criticisms regarding the use of readability formulas in accounting research and could be used in substitution of the original metrics in future studies. An econometric model was used that presents the determinants of readability. Readability was calculated for the Results Analysis section of the Management Report. The resulting construct is understood via three attributes: persistence, current performance, and the reference benchmark. Harmonization with IFRS is a dummy variable, which delimits the pre- and post-IFRS periods. The hypotheses were tested in a sample of Brazilian companies made up of 714 company-year observations covering the period from 2006 to 2019. The descriptive results show that there is an apparent improvement in the readability of the reports in the pre- and post-IFRS period comparison. The econometric evidence shows that, in general, companies with persistent and positive earnings present less complex reports and are more likely to have highly readable reports, because managers publish reports with better readability to signal positive results to the market.
DOI: 10.17632/sf49djjnz5
title: Supporting data for sustainability-oriented multi-criteria analysis of different continuous flight auger piles

description: Herein, the supporting data is presented for the article Sustainability-Oriented Multi-Criteria Analysis of Different Continuous Flight Auger Piles using the MIVES method. Indicator values are calculated and presented for the economic, environmental and social requirements and calculations are provided for the sustainability index for each of the alternatives.
DOI: 10.6084/m9.figshare.13574468.v1
title: IJGIS code & data

description: IJGIS code & data
DOI: 10.6084/m9.figshare.27195153.v1
title: Supplemental_Datasets

description: <i>Salmonella</i> employs multiple pathways to secrete proteins, facilitating bacterial interactions with hosts, invasions and pathogenicity. Not like type III secretion systems (T3SSs) and the effectors, type I secretion systems (T1SSs) and the substrates have not been investigated extensively in <i>Salmonella</i>, despite their potential significance. In this research, we adopted a homology-searching based strategy to screen 61 sets of T1SSs from the genomes of 26 representative strains covering the known <i>Salmonella</i> species and subspecies. The T1SSs fall into 4 clusters. Cluster I and Cluster II T1SSs are conserved and were potentially acquired anciently before the diversification of the <i>Salmonella</i> genus, Cluster III T1SSs were also anciently obtained but lost in many <i>S. enterica</i> subspecies and strains, and Cluster IV T1SSs are unconserved and could have been acquired by individual strains through horizontal transferring events. Cluster I and II T1SS gene clusters form independent operons lacking local transcription regulator genes nearby the genomic loci, but both were well adapted to the bacterial global transcriptional regulation networks. The Cluster I T1SS operon is involved in a large network participating in basic biological processes of the bacterial cell, while the Cluster II T1SS operon is transcriptionally co-regulated with the operons of <i>Salmonella</i> Pathogenic Island 1 (SPI-1) T3SS gene cluster, the effector genes, and other virulence genes. HilC was found to be a potential key regulator for the co-expression network of the Cluster II T1SS operon. Finally, with the features of gene evolution, operon co-expression and secretion signal sequences, we predicted 159 potential T1SS substrate proteins from the strains. It was noticed that the putative Cluster II T1SS substrates, SiiE family proteins, showed apparent sequence diversity. Taken together, the study comprehensively investigated the distribution, evolution, regulation and the secreted proteins of T1SSs in <i>Salmonella</i>, broadening our knowledge about the bacterial biology, survival and interactions with hosts.
DOI: 10.6084/m9.figshare.28924754.v4
title: Glitch in the Care System

description: This zine explores how the NHS App, as a tool of digital transformation, amplifies existing societal inequalities by disadvantaging not only those who lack access to digital tools, but also those who prefer face-to-face interactions with healthcare providers. It examines how digital exclusion - a recognised social determinant of health - is exacerbated by policies that assume digital-first solutions are universally desirable and accessible.
DOI: 10.6084/m9.figshare.9792239.v1
title: Gene Expression and Phenotypic Profiling Data

description: Data sets of manuscript "Evaluation of Gene Expression and Phenotypic Profiling Data as Quantitative Descriptors for predicting Drug Targets and Mechanisms of Action" by Lapins and Spjuth<br>
DOI: 10.17632/mw2mmpdz3g
title: Mearns_et_al_2019

description: Processed behavioral data from 7-8 dpf zebrafish larvae performing prey capture behavior.
DOI: 10.17632/vtk54hzzfb
title: awake_rsfMRI_mouse_NatComms2024

description: Resting state fMRI data from n=10 awake mice from Gutierrez-Barragan et al. 2024 (DOI pending). Scans were acquired at the IIT laboratory in Rovereto (Italy) on a 7.0 Tesla MRI scanner (Bruker Biospin, Ettlingen) with a BGA-9 gradient set, a 72 mm birdcage transmit coil, and a four-channel solenoid receive coil. Awake scans used a single-shot echo planar imaging (EPI) sequence with the following parameters: TR/TE=1000/15 ms, flip angle=60°, matrix=100 x 100, FOV=2.3 x 2.3 cm, 18 coronal slices (voxel-size 230 x 230 x 600 µm), slice thickness=600 µm and 720 time points, for a total time of 12 minutes. It is suggested to remove the first 120 scans (2 minutes) to account for thermal gradient equilibration.