cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12546065.v1
title: Supplementary Material for: Health-Related Quality of Life in Patients with Multiple Endocrine Neoplasia Type 1

description: <b><i>Introduction:</i></b> Multiple endocrine neoplasia type 1 (MEN1) is a hereditary endocrine tumor syndrome characterized by the triad of primary hyperparathyroidism, duodenopancreatic neuroendocrine tumors (pNETs), and pituitary tumors. Patients are confronted with substantial morbidity and are consequently at risk for an impaired quality of life (QOL). Meticulous assessment of QOL and associated factors in a representative population is needed to understand the full spectrum of the burden of the disease. <b><i>Patients and Methods:</i></b> A cross-sectional study was performed using the national Dutch MEN1 cohort. Patients with a confirmed MEN1 mutation received the SF-36 Health Related Quality of Life questionnaire and questions regarding sociodemographic and medical history. <b><i>Results:</i></b> A total of 227 of 285 (80%) eligible MEN1 patients returned the questionnaires. Health-related QOL scores (HRQOL) in MEN1 patients were significantly lower for the majority of subscales of the SF-36 in comparison with the general Dutch population. The most consistent predictor for HRQOL was employment status, followed by the presence of a pituitary tumor. 16% of patients harboring a pNET and 29% of patients with a pituitary tumor according to the medical records, reported that they were unaware of such a tumor. These subgroups of patients had several significant better QOL scores than patients who were aware of their pNET or pituitary tumors. <b><i>Conclusion:</i></b> Patients with MEN1 have an impaired QOL in comparison with the general Dutch population warranting special attention within routine care. For daily practice, physicians should be aware of their patients’ impaired QOL and of the impact of unemployment on QOL.
DOI: 10.6084/m9.figshare.16785841.v2
title: Color preference among selected adults in Ghana.csv

description: This data was acquired through a digital questionnaire. It gives an idea of color preference among selected adults in Ghana. Color palette was adapted from the Berkeley Color Project. Other variables chosen for the study include sex, age and hobbies etc
DOI: 10.6084/m9.figshare.20072387.v1
title: RNA-Seq data used in this study for hint data.

description: RNA-Seq data used in this study for hint data.
DOI: 10.6084/m9.figshare.16763062.v2
title: A minimal data set of mars32k

description: We conducted experiments to evaluate saliency mode performance on a portion of the mars32k dataset (available at https://dominikschmidt.xyz/mars32k/). This dataset is an unlabeled public dataset that contains 32,000 color images collected by the Curiosity rover on Mars between August 2012 and November 2018. The images show various geographical and geological features of Mars such as mountains and valleys, craters, dunes and rocky terrain.
DOI: 10.6084/m9.figshare.2009718.v1
title: Electrophysiology cellular measurements

description: Measurements of electrophysiology properties of dorsal and ventral CA1 pyramidal cells.
DOI: 10.17632/dw47mw86w6
title: Good And Bad Classification Of Ghugni

description: Data Description for Good and Bad Classification of Ghugni
This project focuses on developing a classification model for the quality assessment of Ghugni, a popular Indian snack made from dried peas or chickpeas, often flavored with spices and served as street food. The dataset contains 1000 samples, evenly divided into 500 "Good" and 500 "Bad" samples. The data is structured to support machine learning classification tasks to differentiate between good-quality and defective batches of Ghugni.

Data Overview:
Total Samples: 1000
Categories:
Good Ghugni: 500 samples
Bad Ghugni: 500 samples
Features:
Sensory Attributes:

Appearance: Bright yellow, uniform distribution of spices for good samples; dull color or uneven distribution for bad samples.
Texture: Soft, firm texture for good samples; excessively mushy or hard for bad samples.
Odor: Pleasant aroma for good samples; rancid or off-smell in bad samples.
Chemical Properties:

Moisture Content (%): Lower moisture levels for well-cooked samples; higher moisture levels for poorly cooked or spoilt samples.
pH Value: Optimal pH indicating freshness for good samples; deviations in spoiled samples.
Peroxide Value: Higher peroxide levels indicate rancidity, which is typically found in bad samples.
Microbial Analysis:

Total Plate Count (TPC) for microbial load
Presence of mold/yeast colonies
Nutritional Parameters (if available):

Protein, fat, and carbohydrate content comparison between good and bad samples.
Class Labels:
0: Bad Ghugni
1: Good Ghugni
Data Collection Process:
Samples were collected from different batches and vendors, ensuring diverse data representation.
Quality classification was conducted by trained sensory panels and verified through chemical and microbial analyses.
Data Preprocessing:
Missing values for chemical data were handled by imputation techniques.
Sensory scores were normalized to a common scale.
Outlier detection was performed to maintain data integrity.
Potential Use Case:
This dataset can be leveraged for building supervised learning models such as Logistic Regression, Decision Trees, or Neural Networks for quality control automation in food production. This project aims to ensure consumer safety and consistent product quality by predicting whether a batch of Ghugni meets quality standards.
DOI: 10.6084/m9.figshare.7352468.v4
title: Measles virus genome

description: A generic MeV genome representation highlighting coding sequences, proteins produced (yellow boxes) and the diagnostic and sequencing PCR assay target regions referred to in the linked bioRxiv manuscript. The genome is drawn to scale based on MeV Edmonston strain (GenBank accession: AF266288).<b></b>
DOI: 10.15468/dl.rxgheb
title: Occurrence Download

description: A dataset containing 27324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pieris napi (Linnaeus, 1758)"
 ]
}

 The dataset includes 27324 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009337-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4pjnyywhpc
title: Deep learning-driven diagnosis of humerus1 fractures from radiographic data

description: Bone fractures are among the most frequently treated conditions in hospitals, arising from causes such as sports injuries, traffic accidents, and other trauma. X-ray imaging, computed tomography (CT), and, in more severe cases, magnetic resonance imaging (MRI) are the most commonly employed diagnostic methods. While these techniques offer high diagnostic accuracy, they are time-consuming due to the need for expert interpretation and the volume of cases requiring evaluation. This research aims to develop a machine learning-driven algorithm for the classification and diagnosis of humerus fractures, highlighting the potential of artificial intelligence in medical diagnostics. The proposed algorithm is based on Artificial Neural Networks (ANN) and trained using a dataset of X-ray images depicting both fractured and healthy bones. To optimize performance, the model was trained with rescaled input images, identifying the ideal resolution to preserve critical features necessary for accurate classification. The algorithm achieved over 90\% accuracy across different image scales, and its performance was validated using metrics such as confusion matrix, sensitivity, F1-score, and Matthews correlation coefficient (MCC), demonstrating its effectiveness as a diagnostic tool for fracture detection.
DOI: 10.6084/m9.figshare.20492892.v5
title: Circadian disruption does not alter tumorigenesis in a mouse model of lymphoma

description: qPCR data from liver and spleen tissues extracted from Eu-MYC mice in control or chronic jetlag lighting conditions.Western Blot images from protein extracted liver and spleen tissues from Eu-MYC mice in control or chronic jetlag lighting conditions."Mouse Information" provides murine numeric ID and group allocation. Will be useful for assessing qPCR data where samples are labeled as mouse ID.Western Blots tagged with 091223 and "TumorBurdenPhoto.pptx" were updated during the revision.<br>
DOI: 10.6084/m9.figshare.5671594.v1
title: XPS - octa POSS

description: XPS data before and after AO exposure - increasing octa-POSS content<br>
DOI: 10.6084/m9.figshare.930706.v2
title: protein processing in endoplasmic reticulum-html

description: unigenes involved in protein processing in endoplasmic reticulum
DOI: 10.6084/m9.figshare.9948878.v1
title: Supplementary Material for: The Associations between Antenatal Corticosteroids and In-Hospital Outcomes of Preterm Singleton Appropriate for Gestational Age Neonates according to the Presence of Maternal Histologic Chorioamnionitis

description: <b><i>Introduction:</i></b> This study aimed to assess the association between antenatal corticosteroid (ACS) and in-hospital outcomes of preterm singleton appropriate for gestational age (AGA) infants according to the presence of maternal histologic chorioamnionitis (HCA). <b><i>Methods:</i></b> A retrospective study was performed with singleton AGA neonates of 23<sup>+0</sup> to 33<sup>+6</sup> weeks’ gestation born between 2007 and 2014. We compared the clinical outcomes according to the presence of HCA and ACS use. We also divided the ACS group into 2 groups: infants who received ACS 2–7 days before birth (optimal ACS) or not (suboptimal ACS). Multivariate logistic regression with Firth’s penalized likelihood was performed. <b><i>Results:</i></b> In total, 254 neonates were eligible with 109 neonates with HCA (42.9%). In multivariate analysis adjusting for GA, sex, and cesarean section, ACS use was associated with reduced severe bronchopulmonary dysplasia (BPD) or death and hypotension within 7 postnatal days among the neonates with HCA. However, it was associated with increased patent ductus arteriosus (PDA) treatment. In the optimal ACS group, severe BPD or death (aOR 0.03, 95% CI 0.01–0.42), hypotension (aOR 0.02, 95% CI 0.01–0.26), and inhaled nitric oxide use (aOR 0.06, 95% CI 0.00–0.81) were lower, however, PDA treatment (aOR 8.14, 95% CI 1.20–55.24) and sepsis (aOR 6.85, 95% CI 1.02–46.07) were higher when compared with the no ACS group among HCA+ infants. Among HCA– infants, only PDA treatment was lower in the ACS group. <b><i>Conclusion:</i></b> In neonates with HCA, ACS treatment was associated with reduced morbidities. However, increased sepsis was associated with optimal ACS use.
DOI: 10.6084/m9.figshare.1147476.v3
title: Best papers data

description: Data and program for the paper " Peer-selected best papers -- are they really that<br>good?"
DOI: 10.6084/m9.figshare.14069369.v1
title: Impact of Reflective Writings data

description: 9 interview transcripts
DOI: 10.6084/m9.figshare.14206745.v1
title: Crocosphaera genome annotation

description: This folder includes the annotation files of <i>Crocosphaera</i> WH0005 genome and scripts
DOI: 10.6084/m9.figshare.21905904.v1
title: liftover chains

description: LiftOver Chains between mouse (mm10) and fat-tailed dunnart genome.
DOI: 10.6084/m9.figshare.28204343.v1
title: Map Generalization Dataset & Code

description: Map Generalization Dataset & Code
DOI: 10.17632/rj9zvw5jvw
title: Effects of Developmental Exposure to Neurotoxic Algal Metabolites on Predator-Prey Interactions in Larval Pimephales promelas

description: We examined the effects of a potent algal neurotoxin, β-methylamino-L-alanine (BMAA), on the development and behavior of larval Fathead Minnows, Pimephales promelas, during predator-prey interactions. We exposed eggs and larvae to environmentally relevant concentrations of BMAA (5, 25, 125, 625 ng/L) for 21 days, then tested subjects in prey-capture and predator-evasion assays designed to isolate the effects of exposure at sequential points of the stimulus-response pathway.
DOI: 10.6084/m9.figshare.5121142.v1
title: Supplementary Material for: Dendritic Spine Alterations in Neocortical Pyramidal Neurons following Postnatal Neuronal Nogo-A Knockdown

description: The myelin-associated protein Nogo-A is a well-known inhibitor of axonal regeneration and compensatory plasticity, yet functions of neuronal Nogo-A are not as clear. The present study examined the effects of decreased levels of neuronal Nogo-A on dendritic spines of developing neocortical neurons. Decreased Nogo-A levels in these neurons resulted in lowered spine density and an increase in filopodial type protrusions. These results suggest a role for neuronal Nogo-A in maintaining a spine phenotype in neocortical pyramidal cells.
DOI: 10.6084/m9.figshare.15054339.v1
title: Laptops and Externalities in the Classroom

description: These are the two datasets used for the paper "Do Laptops in the Classroom Produce Negative Externalities? Evidence from a Classroom Field Experiment". One has the level version of the "exposure" variable, and the other has the squared version.
DOI: 10.6084/m9.figshare.25574040.v1
title: Table 3. The different pathogens that have been sequenced and publicly shared via SRA:NCBI from different countries in Africa (at least 12 Terabytes of sequence data).xlsx

description: The different pathogens that have been sequenced and publicly shared via the Sequence Read Archive (SRA) of the National Center for Biotechnology Information (NCBI) from different countries in Africa (at least 12 Terabytes of sequence data). Each country has a collection of priority pathogens that have been sequenced and shared. *BioProject is a collection of biological data related to a single initiative, originating from a single organization or consortium. A BioProject record provides users with a single place to find links to the diverse data types generated for that project.
DOI: 10.17632/9yjb77wxbz
title: Datasets of GeoS-NCEP/NCAR

description: comparison of spatiotemporal changes in precipitation and temperature
DOI: 10.6084/m9.figshare.21790067.v1
title: Supplementary Material for: Retinal ganglion cell topography and spatial resolution in three Indian pteropodid bats

description: Pteropodidae is the only phytophagous bat family that predominantly depends on visual and olfactory cues for orientation and foraging. During daytime, pteropodids of different species roost in sites with varying light exposure. Pteropodids have larger eyes relative to body size than insectivorous bats. Retinal topography has been studied in less than 10% of the approximately 200 pteropodid species, a behavioural estimation of spatial resolution is available only for Pteropus giganteus, and little is known about the relationship between their roost site preference and visual ecology. We present retinal ganglion cell topographic maps and anatomical estimates of spatial resolution in three southern Indian pteropodid species with different roosting preferences. Ganglion cell densities are between 1000 and 2000 cells/mm2 in the central retina and lower in the dorsal and ventral periphery. All three species have a temporal area in the retina with peak ganglion cell densities of 4600 to 6600 cells/mm2. As a result, the foliage-roosting Cynopterus sphinx and the cave-roosting Rousettus leschenaultii have similar anatomical resolution (2.7 and 2.8 cycles/degree, respectively). The anatomical estimate for the larger tree-roosting P. giganteus (4.0 cycles/degree) is higher than the spatial resolution determined earlier in behavioural tests. Like other pteropodids and unlike other vertebrates, all three species have choroidal papillae. Based on 15 pteropodid species studied to date, we find no relationship between roost type and eye size or visual acuity. For a general understanding of the sensory ecology of pteropodids that perform key ecosystem services in the tropics, it will be essential to study additional species.
DOI: 10.4121/15040446.v1
title: Data underlying the research of Integration of observed and model derived groundwater levels in landslide threshold models in Rwanda

description: This dataset contains landslide inventory and groundwater level data collected from Rwanda. The groundwater data in this dataset were collected from 2016-2021. The landslide inventory contains data from 2006-2021 and was compiled by J.Uwihirwe following the available standard methods and naming adopted by other landslide researchers e.g Monsieurs et al., 2018; Kirschbaum et al., 2009. These data are being published to serve as assets and/or supplementary material for publication of the paper on "Integration of observed and model derived groundwater levels in landslide threshold models in Rwanda" and the PhD thesis of Judith Uwihirwe. Additionally, these data are being made public for reviewers cross checking and other researchers to use them in their own work.
DOI: 10.6084/m9.figshare.25699629.v1
title: 1. Analysis-Beneficiary.xlsx

description: Study data on assessment of water conservation and demand management strategies in Kakuma Refugee Camp
DOI: 10.17632/gzyr6j4smw
title: Impact of displacement direction relative to heterogeneity on averaged capillary pressure-saturation curves

description: optical images of micromodel experiments for two-phase flow at different capillary numbers
DOI: 10.6084/m9.figshare.13551467.v4
title: Biographies of literature writers written in English language

description: This dataset contains 1000 biographies of literature writers retrieved from the english version of Wikipedia. There is a total of 500 biographies of women writers extracted from the category entitled “19th-century_women_writers” (https://en.wikipedia.org/wiki/Category:19th-century_women_writers) and 500 male biographies extracted from the category “19th-century_male_writers” (https://en.wikipedia.org/wiki/Category:19th-century_male_writers)
DOI: 10.6084/m9.figshare.19354217.v1
title: Dataset for the analyses of newt abundance dynamics in northern Italy

description: Dataset and scripts used to run the analyses for newt abundance dynamics in northern Italy, along relative abundance of selected fish species at 45 locations across the study region between 1998 and 2007.<br>Newt counts and environmental characteristics were directly retreived on the field by the authors.<br>The relative abundance of selected fish species at 45 locations across the study region between 1998 and 2007 were retrieved from Puzzi C.M., Trasforini S., Bardazzi M.A., Polisciano N., Montonati S. & Maggio A. (2007). Carta provinciale delle vocazioni ittiche. Provincia di Milano. Available at:https://www.regione.lombardia.it/wps/portal/istituzionale/HP/DettaglioRedazionale/servizi-e-informazioni/cittadini/agricoltura/pesca/pianificazione-ittica/pianificazione-ittica-provinciale).The 45 locations do not correspond to study sites of newt population dynamics but were used as indicators of the regional-level trend of fish species.<br>
DOI: 10.6084/m9.figshare.25918423.v1
title: Concentrations of measured PAHs in Hamilton and Western Burlington in the summer of 2022 in ng/m³. Data are from the report "High density Passive Air Quality Monitoring in the City of Hamilton" by Elysia Fuller-Thomson, MSc & Matthew Adams, Ph.D.

description: Polycyclic aromatic hydrocarbons (PAHs) were collected using Tisch Environmental 200-PAS Outdoor Passive Air Sampler stainless steel double-domed samplers.
DOI: 10.17632/6f2cv54ym8
title: A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development

description: We performed in-situ tensile tests on two carbon fibre/epoxy composites with continuous scanning using synchrotron computed tomography (CT). Both composites were cross-ply laminates, and two specimens were tested for each composite. The voxel size was sufficiently small to recognize individual fibres and fibre breaks. For each test, 16-19 volumes were reconstructed, cropped down to the 0° plies and analysed to track fibre break and cluster development. This dataset provides the last CT volume before failure for each of the four specimens as well as the individual fibre break locations in all reconstructed volumes. These data are then plotted against predictions from six state-of-the-art strength models. The target is that these data become a benchmark for the development of new models, inspiring researchers to set up refined experiments and develop improved models.
DOI: 10.21233/3cgn-fz97
title: Gamov Peninsula, Posyet Bay ostracode surface sample dataset

description: Raw data for the Gamov Peninsula, Posyet Bay ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.24905571.v2
title: Meteorological and hydrological dataset of the Yangtze River source region.xlsx

description: Dataset for Zhou et al.'s paper entitled "Global warming drives runoff peak and sediment flux increase shifting from July to September in Tibetan Yangtze River"
DOI: 10.6084/m9.figshare.14813139.v3
title: CCFZ daily average current data

description: 6-year time series of daily average current velocity and heading measured at depths between 1193 m and 1,427 m in the Korean exploration licensed area in the CCFZ (10º 30’N 131º 20’W). The maximum observed daily average velocity was 0.11m s-1, and the mean was 0.04m s-1 over the 6-year period. The current velocity and heading were measured using a single point current meter SeaGuard RCM DW (Aanderaa)
DOI: 10.6084/m9.figshare.4308917.v2
title: Paranoia and the social representation of others: a large-scale game theory approach

description: The .csv file comprises the raw data necessary to reproduce the analyses in Raihani & Bell: Paranoia and the social representation of others: a large-scale game theory approach. The R code file contains the code to produce the key analyses and plots from these data. <br> <br>
DOI: 10.17632/4xbb46bytz
title: Description of an Automated Algorithm based on Artificial Neuronal Networks for the Detection of Fractures from X-Ray Images Pre-processed

description: The present work aims to diagnose humerus fractures from pre-processed X-ray images, using classification algorithms and a publicly accessible internet database. The goal is to develop a predictive model that can distinguish between a patient with a fractured humerus and a healthy patient, thereby providing support for this medical condition.
DOI: 10.6084/m9.figshare.24798222.v2
title: Supplemental File for Physics-Informed Recurrent Network for Gas Pipeline Network Parameters Identification

description: Supplemental File for Physics-Informed Recurrent Network for Gas Pipeline Network Parameters Identification