cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14916888.v2
title: ADHD in aging

description: BACKGROUND. Attention-Deficit/Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental condition, which may be associated with life-enduring cognitive dysfunction. It has been hypothesized that age-related cognitive decline may overlap with preexisting deficits in older ADHD patients, leading to increased problems to manage everyday-life activities. This phenomenon may mimic neurodegenerative disorders, in particular Mild Cognitive Impairment (MCI). This cross-sectional study aims to assess cognitive and behavioral differences between older subjects with ADHD and MCI. METHODS. A total of 107 older participants (41 controls; 40 MCI and 26 ADHD; mean age = 67.60 ± 7.50 years; mean schooling = 15.14 ± 2.77 years; 65.4% females) underwent clinical, cognitive, and behavioral assessments by a multidisciplinary team at the Memory Clinic, D’Or Institute for Research and Education, Rio de Janeiro, Brazil. Mean scores in neuropsychological tasks and behavioral scales were compared across groups. RESULTS. Participants with ADHD showed poorer performances than controls in episodic memory, executive function, and attention tests. Scores were comparable between MCI and ADHD for all domains, except for the memory tasks: MCI subjects presented worse results in encoding and delayed-recall subtests, whereas ADHD were more impaired in recognition test. DISCUSSION. MCI and ADHD in older individuals are dissociated clinical entities with overlapping, but distinct, cognitive profiles. Assessment of verbal memory, especially using recognition tasks, but not evaluation of executive function, could allow differentiation between these disorders.
DOI: 10.6084/m9.figshare.25932416.v1
title: Vaccine-associated paralytic poliomyelitis in oral polio vaccine recipients: disproportionality analysis using VAERS and systematic review

description: Vaccine-associated paralytic poliomyelitis (VAPP) is a rare adverse event of oral poliovirus vaccines (OPV), particularly affecting immunodeficient individuals. This study aimed to (1) Assess the association between OPV and VAPP using Vaccine Adverse Event Reporting System (VAERS) database (2) Outline patient characteristics and risk factors associated with the occurrence of VAPP in OPV recipients through a systematic review of case reports and case series. A disproportionality analysis was conducted using the data from VAERS, encompassing adverse events reported from 1990 till February 2023. Additionally, we conducted a systematic review of case reports and case series using PubMed, Scopus, and Embase databases. The VAERS data revealed 130 VAPP reports among 1,739,903 OPV linked adverse events, with year 2010 reporting the strongest association. The systematic review of 37 studies highlighted VAPP occurrence within 2 months to 4 years post-vaccination, typically with acute flaccid paralysis. Immunodeficiency and perianal abscess emerged as major risk factors. Out of the 37 included studies, 27 showed consistent causal association of VAPP with OPV using WHO-AEFI causality assessment tool. The study emphasized the seriousness of VAPP and highlights its association with OPV, identifying immunodeficiency as a prominent contributor to VAPP manifestation.
DOI: 10.17632/gf2pwgpg3p
title: Supplemental Figure 1 A&B

description: Supplemental Figure 1 A&B: Fitzpatrick skin type II, longitudinal melanonychia of the fingernails and toenails after treatment with hydroxyurea for breast cancer.
DOI: 10.17632/yp7xjg4zs3
title: Scopus Based Occupational Therapy Research (2001-2020)

description: This data is basically analysed from the Scopus database for the literature obtained in the discipline of occupational therapy. The data will be most useful for the beginners in the occupational therapy researcher, especially in terms of their publication.
DOI: 10.17632/zzskmkyv6v
title: Dataset of Requirements Engineering for Older Adult Digital Health Software: A Systematic Literature Review

description: This dataset contains raw, analyzed, and related data collected for a systematic literature review (SLR) on Requirements Engineering for Older Adult Digital Health Software. The raw data includes the primary studies retrieved from various databases, while the analyzed data consists of extracted information, categorized findings, and statistical summaries relevant to the research questions. Additionally, related data such as metadata, quality assessment results, and supplementary materials are provided to enhance transparency and reproducibility.

The readme and data dictionary can be found in the file: Data_dictionary
DOI: 10.6084/m9.figshare.1449277.v1
title: Negotiation Protocol for Agile and Reliable E-Science Collaboration

description: A negotiation protocol specification, including negoitation messages, negoitation procedures, states, assumption and rules, and race condition discussion. The protocol is based on Alliance model, and aims at enabling agile, dynamic, reliable, and lightweight e-Science collaboration.
DOI: 10.6084/m9.figshare.8072519.v4
title: Electrocardiography, echocardiography, myocyte shortening and histological data

description: Electrocardiography <br><br>Electrocardiography data obtained in diabetic and age-matched control rats using Bioamp (ADInstruments, Dunedin, New Zealand), 3 weeks after induction of diabetes.<br>-------------<br>Echocardiography <br><br>Transthoracic echocardiography was performed in diabetic and age-matched control rats using VEVO 2100 (Visual Sonics, Toronto, ON, Canada) equipped with a 40-MHz transducer, 2 weeks after diabetes induction.<br>-------------<br><br>Myocyte shortening<br>Cardiac myocytes were placed in a perfusion chamber mounted on the stage of an inverted microscope (Eclipse TS100; Nikon, Tokyo, Japan) equipped with an analog camera (Myocam; IonOptix, Milton, MA, USA). Only rod-shaped myocytes with clear edges and without spontaneous contractions were selected for analysis. Cells were maintained at 37°C and field stimulated (MyoPacer; IonOptix) with 5 ms bipolar pulses at 1 Hz frequency using platinum electrodes placed on the opposite sides of the chamber. Contraction signals of load-free myocytes were recorded with the help of a commercial software (IonWizard; IonOptix) and the sarcomere striation pattern used to calculate changes in sarcomere spacing using a fast Fourier transform algorithm (Sarclen Algorithm; IonOptix). The following parameters were obtained: resting sarcomere length; amplitude of shortening (expressed as % of resting sarcomere length); shortening and relaxation velocities and time intervals to reach the peak of contraction (TPC); maximal shortening velocity (TMS); maximal relaxation velocity (TMR) and 50% resting sarcomere length (THALF). The parameters were calculated averaging at least 5 consecutive contractions.<br>-------------<br><br>Histology<br>For histological data, prepared sections were observed under microscopy (Leica Application suite). Magnification was set up at ×400. Micrographs were used to calculate the collagen content in the myocardial interstitium using the Image J software as the percentage of red-stained area in the section. An average of 15-20 images from each animal from each group was analyzed. To evaluate the perivascular fibrosis of intramyocardial arterioles of the ventricles, arterioles with a diameter between 100-200 μm were chosen. For each image of the arteriole, a region of interest was delimited around it to exclude areas of interstitial collagen which were not related to the arteriole. Perivascular fibrosis was determined by the ratio between the area occupied by collagen stained with picro-sirius within the region of interest and the area of ​​the lumen. The software Image J was used to calculate the area occupied by the collagen and to mark the regions of interest, and the software Zen (Zeiss, Germany) to calculate the area of ​​the lumen. The images were obtained with a 20x magnifying objective (Eclipse TE 300, Nikon, USA) with a digital camera (AxioCam, Zeiss, Germany).
DOI: 10.6084/m9.figshare.9988358.v1
title: list of projects

description: list of the top 200 most FORKED projects off gitHub as of Sept2019
DOI: 10.17632/vbf3224p23
title: Data for: A New Biologically Inspired Global Optimization Algorithm Based on Firebug Reproductive Swarming Behaviour

description: MATLAB Source code of Firebug Swarming Optimization Algorithm.
DOI: 10.6084/m9.figshare.14724261.v4
title: The trained network

description: The trained network for wavelength classification. This network also be used for tsne analysis. Besides, this file also cotains the accuracy and loss of training progress.
DOI: 10.17632/9z5x99tpxy
title: GRL2020GL088490

description: Data necessary to reproduce data for figures and tables for an article in Geophysical Research Letters ("Link between CO2-Induced Wettability and Pore Architecture Alteration") accepted on August 21, 2020, authored by Heng Wang(1), Vladimir Alvarado(2), Erik R. Smith(2), John P. Kaszuba(3), Davin A. Bagdonas(1), J. Fred McLaughlin(1), Scott Austin Quillinan(1). (1) 1Center for Economic Geology Research, University of Wyoming, Laramie, Wyoming, USA. (2) Department of Chemical Engineering, University of Wyoming, Laramie, Wyoming, USA. (3) Department of Geology & Geophysics, University of Wyoming, Laramie, Wyoming, USA. This is a MS-Excel file. Each tab is identified with the Table or Figure number for easy accessibility.
DOI: 10.17632/fyhh7xdjhs
title: Raw data of research"Moderating Effects of Individual Differences on Relationships between External Environments and Intrinsic Motivation"

description: This is the raw dataset of research "Moderating Effects of Individual Differences on Relationships between External Environments and Intrinsic Motivation", which examines the effects of external environmental factors, specifically monetary reward and choice, on intrinsic motivation, and tests whether they are moderated by individual differences in autonomy. We randomly assigned 103 undergraduates to one of four conditions in terms of reward and choice. Participants were given puzzles to solve in the experimenters' presence, which they were free to continue tackling when the experimenters left the room. We measured the time spent solving puzzles when free to choose other activities, task enjoyment, and perceived competence as dependent variables. Interest in puzzles was unaffected by receiving a reward in participants with high autonomy orientation but dropped significantly in participants with low autonomy orientation. Choice over the task increased competence in participants with high autonomy orientation but lowered competence in low autonomy orientation. Finally, we found no significant effects on time spent on puzzles. The present study contributes to current literature regarding causes of differences in performance in various achievement settings.
DOI: 10.17632/rr7mfjftx2
title: Dataset on Factors Influencing Pedestrian Crosswalk Usage Behavior in High-Density Urban Areas of a Developing Country

description: This dataset is from a survey of pedestrian perceptions of crosswalk usage behavior in Dhaka city. The survey was conducted based on 8 attributes and demographic characteristics (Gender, Age, Crosswalk Usage frequency, and whether they truly prefer crosswalk usage or not). The responses were collected using a 5-point Likert scale, with 1 representing a strong disagreement, to 5 representing a strong agreement. The survey was carried out for three months from May 2020 to July 2020 at the selected locations of Dhaka, Bangladesh (Baridhara, Banani, Gulshan-2, Badda, Bijoy Sarani, Panthapath, Saarc Fowara, Mouchak, Shantinagar, Dhanmondi, Shahabag and Kakrail Circle). 700 responses were collected in the selected crosswalk location employing five persons under rigorous supervision. The initial sample size was reduced to 682 after data screening where unengaged respondents and outliers were eliminated.
DOI: 10.6084/m9.figshare.21508062.v4
title: TamburelloLitt_DataTrackingTable_20230210_analysis.xlsx

description: A dataset synthesizing the identity, mechanisms of impact, mechanisms of spread, and magnitude of impacts across 784 unique pairs of invasive species and federally-listed species at risk in British Columbia, Canada, based on a systematic literature review of species at risk documentation.
DOI: 10.17632/2pdwjm85tb
title: The maternal microbiome modifies adverse effects of protein undernutrition on offspring neurobehavioral impairment in mice.

description: Protein undernutrition is a global risk factor for impaired growth and neurobehavioral development in children. However, the critical periods, environmental interactions, and maternal versus neonatal influences on programming lasting behavioral abnormalities are poorly understood. In a mouse model of fetal growth restriction, limiting maternal protein intake particularly during pregnancy leads to cognitive and anxiety-like behavioral abnormalities in adult offspring, indicating a critical role for the gestational period. By cross-fostering newborn mice to dams previously exposed to either low protein or standard diet, we find that the adult behavioral impairments require diet-induced conditioning of both fetal development and maternal physiology, rather than either alone. This suggests that protein undernutrition during pregnancy directly disrupts fetal neurodevelopment and indirectly alters maternal state in ways that interact postnatally to precipitate behavioral deficits. Consistent with this, maternal protein restriction during pregnancy reduces the diversity of the maternal gut microbiome, modulates maternal serum metabolomic profiles, and yields widespread alterations in fetal brain transcriptomic and metabolomic profiles, including subsets of microbiome-dependent metabolites. Further depletion of the maternal microbiome in protein-restricted dams exacerbates alterations in fetal brain gene expression and neurocognitive behavior in adult offspring, suggesting that the maternal microbiome modifies the impact of gestational protein undernutrition on risk for neurobehavioral impairment in the offspring. To explore the potential for microbiome-targeted interventions, we find that maternal treatment with short chain fatty acids, a cocktail of 10 diet- and microbiome-dependent metabolites, or a consortium of gut bacteria reduced by protein undernutrition each yield differential effects on fetal development and/or postnatal behavior. Results from this study highlight impactful prenatal influences of maternal protein undernutrition on fetal neurodevelopment and adverse neurobehavioral trajectories in offspring, which are mitigated by microbiome-targeted interventions during pregnancy.
DOI: 10.17632/xgbjr735m7
title: Data for: When children aren't more logical than adults: An empirical investigation of lying by falsely implicating

description: Appendix, Test items used in the experimental investigations described in the contribution "When children aren't more logical than adults: An empirical investigation of lying by falsely implicating"
DOI: 10.15468/dl.xafyv7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((54.0145 -15.8532,54.1138 -16.1504,54.9312 -16.1504,55.0218 -15.961,54.8989 -15.5532,54.5521 -15.3811,54.2381 -15.4633,54.0145 -15.8532))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013025-250525065834625/datasets/export for details.
DOI: 10.17632/42kwtm4b6w
title: Association between short-term exposure to environmental air pollution and atopic dermatitis flare in patients treated with dupilumab

description: Supplementary material
DOI: 10.17632/fgs9pyfv2z
title: Updated Ljubljana Breast Cancer Data Set: reduced and cleaned version

description: This dataset contains information for Machine Learning algorithms to forecast recurrence events (RE) for patients with breast cancer stages I to III. The dataset contains 252 instances and six attributes, including a binary class indicating whether RE occurred. This dataset has been reduced and denoised from the original Ljubljana, which holds 286 instances with ten attributes each (LBCD, Zwitter M. and Soklic M. (1988). Breast Cancer. UCI Machine Learning Repository. https://archive.ics.uci.edu/dataset/14/breast+cancer). The ranking results by eight different Machine learning algorithms and statistical handling of the ranking 8-component vectors for attributes allow one to reduce ten features to six of the most relevant ones. The most pertinent features were the following five: {deg_malig, irradiat, node_caps, tumor_size, inv_nodes}. Less relevant found four attributes: {age, breast_quad, breast, menopause}. The CAIRAD: Co-appearance based Analysis for Incorrect Records and Attribute-values Detection ( Rahman MG, Islam MZ, Bossomaier T, Gao J. CAIRAD: A co-appearance based analysis for incorrect records and attribute-values detection. Proc Int Jt Conf Neural Networks. 2012;(June). https://doi.org/10.1109/IJCNN.2012.6252669) filter has been determined the noises in attributes and class features. Per the filtering results, 34 instances of LBCD had noises in half (or even more than half) of their features. Those were removed from the data. It is known that the noises in the class are riskier and teasing than those of attributes. Meantime, the class attribute had 35 (14%) missed values from 252 after COIRAD filtering. It was unacceptable, considering the comparable number (only 85 cases) of recurrence events in the class of initial LBCD. The imputation (reconstruction, "cure") of missed values was performed via the algorithm offered in: Bai BM, Mangathayaru N, Rani BP. An approach to find missing values in medical datasets. In: ACM International Conference Proceeding Series. Vol 24-26-Sept. ; 2015. https://doi.org/10.1145/2832987.2833083. The noises presented in the remaining attributes, ranging from 1% to 14%, were neglected. There are 252 instances in the dataset, of which 206 do not have RE, and the remaining 46 have RE. Six attributes, including its class, define each instance. This dataset is obtained from the initial version of the LBCD betterment, and it provides a significant advantage in the performance over the original LBCD for most classifying algorithms of Machine Learning. However, the dataset is slightly more imbalanced than the LBCD, which is a minus.
DOI: 10.6084/m9.figshare.11833554.v2
title: Raw data for "Differences in total iron content at various altitudes of Amazonian Andes soil in Ecuador"

description: Raw data for "Differences in total iron content at various altitudes of Amazonian Andes soil in Ecuador": <br>- pH - soil moisture content (%)- Allophane - total Fe
DOI: 10.6084/m9.figshare.1569119.v1
title: Self-starting monitoring scheme for Poisson count data with varying population sizes

description: In this paper we consider the problem of monitoring Poisson rates when the population sizes are time-varying and the nominal value of the process parameter is unavailable. Almost all previous control schemes for the detection of increases in the Poisson rate in Phase II are constructed based on assumed knowledge of the process parameters, e.g., the expectation of the count of a rare event when the process of interest is in control. In practice, however, this parameter is usually unknown and not able to be estimated with a sufficiently large number of reference samples. A self-starting EWMA control scheme based on a parametric bootstrap method is proposed. The success of the proposed method lies in the use of probability control limits, which are determined based on the observations during rather than before monitoring. Simulation studies show that our proposed scheme has good in-control and out-of-control performance under various situations. In particular, our proposed scheme is useful in rare event studies during the start-up stage of a monitoring process.
DOI: 10.6084/m9.figshare.19608261.v1
title: Full-length Transcriptome of the blue crab Callinectes sapidus

description: Full-length Transcriptome Construction of the blue crab <em>Callinectes sapidus</em>
DOI: 10.6084/m9.figshare.24960711.v2
title: Ground deformation analysis results using ALOS-2 SAR data for the 1 January 2024 Noto-Hanto, Japan, earthquake

description: Ground deformation analysis results using ALOS-2 SAR data for the 1 January 2024 Noto-Hanto, Japan, earthquake, analyzed by Yo Fukushima (Tohoku Univ.), Daisuke Ishimura (Tokyo Metropolitan Univ.), and Naoya Takahashi (Tohoku Univ.). A brief description of the processing is posted here: https://yofuku.github.io/files/column_20240109_2024Noto.htmlProvided data files:2024Noto_SARinterferograms.kmz: SAR interferograms in Google Earth format2024Noto_SARrangeOffsets.kmz: SAR pixel offset analysis result (range component) in Google Earth format2024Noto_SARqUeUv_v2.kmz: Quasi-upward and quasi-eastward displacements obtained from the range offset results in Google Earth format. [Note: This is a preliminary result and it may be updated later.]UvUe_v2.xlsx: Vertical and EW displacements along the northern coast line obtained from the quasi-upward and quasi-eastward displacements. [Note: This is a preliminary result and it may be updated later.]The SAR data were obtained through the activity of the SAR analysis working group of the Coordinating Committee for Earthquake Prediction, Japan. Currently, the same data are provided by JAXA at https://www.eorc.jaxa.jp/ALOS/jp/dataset/alos_open_and_free_j.htm#Noto2024. We used RINC (Ozawa et al., 2016, JGR) and ISCE (https://github.com/isce-framework/isce2) for SAR interferometry and pixel offset analysis, respectively.Data description:Path 26: Reference 2023.06.06, Secondary 2024.01.02, Descending orbit & Left looking (observation from WNW), Incidence angle 39.7 degrees.Path 121: Reference 2022.09.26, Secondary 2024.01.01, Ascending orbit & Left looking (observation from ENE), Incidence angle 32.5 degrees.Path 127: Reference 2023.12.06, Secondary 2024.01.03, Ascending orbit & Right looking (observation from WSW), Incidence angle 42.9 degrees.---<br>[Version updates]<br>20240119: UeUv.xlsx was updated to UeUv_v2.xlsx. In the new version, NaN data were deleted, and fitted curve data a (smoothed curve) is provided.<br>20230119: 2024Noto_SARqUeUv.kmz was updated to 2024Noto_SARqUeUv_v2.kmz. The new version contains results in a broader area.
DOI: 10.17632/4ysx9fyzv4
title: FR_NFR_dataset

description: This dataset aims to support the requirement engineering phase of software development, in the early phase of requirement analysis of Functional Requirements (FR) and Non-Functional Requirements (NFR) for cross-cutting concerns and to improve modularity. The dataset will contain a collection of software requirements expressed in natural language.
Categories: Each requirement is categorized as either FR or NFR.
Subcategories (Optional): NFRs can be further categorized based on specific quality aspects like security, performance, usability, etc.
The dataset will highlight how certain requirements impact multiple modules or functionalities within the system.
The dataset can be used to train Natural Language Processing (NLP) tools to automatically analyze requirements annotated as FR or NFR.
Sources for the dataset are existing software requirements repositories like PROMISE https://arxiv.org/pdf/2211.05286 and open-source project documentation with FRs and NFRs. By processing existing datasets and containing open software project requirement documents we have a dataset of 6118 requirements where 3964 requirements are functional and 2154 requirements are nonfunctional However, creating a comprehensive dataset that covers a wide range of software systems and requirements is challenging as natural language requirements can be ambiguous.