cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23566995.v4
title: Supplementary Material for: Availability of genetic tests in public health services in Brazil: data from the Brazilian Rare Diseases Network

description: Introduction: The Brazilian Policy for Comprehensive Care for People with Rare Diseases (BPCCPRD) was published in 2014, accrediting several reference centers and incorporating many genetic tests for the diagnosis of rare diseases (RDs). The Brazilian Network of Rare Diseases (RARAS) comprises more than 40 institutions that offer diagnosis and treatment for RDs in Brazil. This network includes Reference Services for Rare Diseases (RDRS), Reference Services for Newborn Screening (NSRS), and University Hospitals (UH) distributed in all Brazilian regions. Objective: To map the availability and distribution of the BPCCPRD diagnostic procedures in the Brazilian Unified Health System through RARAS. Method: Data were collected through a questionnaire on the REDCap platform, with 22 questions regarding the availability of procedures. Thirty-seven coordinators from RARAS participating centers received the questionnaire link for participation by email from August/2020 to March/2021. All participating institutions ethically approved this project. Results: Of the 37 institutions, 23 (62.16%) offered cytogenetic tests, 20 (54.05%) offered molecular procedures, and 22 (59.46%) offered inborn errors of metabolism (IEM) diagnostic tests. The identification of urinary glycosaminoglycans by thin-layer chromatography, electrophoresis, and/or quantitative measurement had the highest outsourcing rate. On the other hand, the procedure most frequently performed on-site was the peripheral blood karyotype with band technique. It was observed that 10 of the 37 centers (27%) did not provide access to investigated procedures (on-site or outsourced). The North and Midwest regions stood out in terms of the unavailability of such techniques in at least 40% of the evaluated institutions. Discussion and conclusion: This study reveals large discrepancies in the supply of diagnostic procedures in the Brazilian territory. Moreover, there is a broad collaboration between services through the outsourcing of multiple diagnostic techniques to address this issue. Finally, this work corroborates the importance of mapping services for the diagnosis and treatment of individuals with RDs to propose actions for the better supply and distribution of these procedures.
DOI: 10.6084/m9.figshare.23626425.v3
title: <strong>Risk Assessment Factors of Road Accident at School Based on Fault Tree Analysis and Analytic Hierarchy Process in Rural of Thailand</strong>

description: Based on the cross-sectional study conducted in Thailand's Ubon Ratchathani Province, from April to December 2020, the research team aimed to investigate the likelihood of accidents on school main routes. The study employed various research tools, including the Haddon Matrix for the classification of factors that are at risk of accidents, fault tree analysis for risk assessment, and the Analytic Hierarchy Process (FTA-AHP) techniques. The research objective was to determine the risk of accidents that each situation would lead to an accident near a school. The results of the study showed that the highest risk score level 3 was attributed to three main factors. Firstly, human error was identified as a significant risk perception. Secondly, environmental factors such as driving at excessive speeds were also identified as a contributing factor. Lastly, issues with the vehicle or equipment, such as lighting, braking, and handling, were also identified as potential risks for accidents.   Overall, the study highlights the importance of identifying and managing potential risks on school routes to reduce the likelihood of accidents. The findings can be utilized to develop and implement targeted interventions to mitigate these risks and ensure the safety of students traveling on school routes.
DOI: 10.6084/m9.figshare.27281280.v2
title: “Data and code from: Quantifying the effects of extreme flooding on coastal reef fishes.”

description: Data and code used for the publication: "Quantifying the effects of extreme flooding on coastal reef fishes" published in Ecology.
DOI: 10.6084/m9.figshare.22691290.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.28083083.v1
title: FileS2_Taxon_Statistics_Nonforams.xlsx

description: Summary composition statistics for non-foraminifera taxa. Data correspond to those presented in Fig 2.
DOI: 10.6084/m9.figshare.28844246.v1
title: Checklist of the coastal fishes of Lord Howe, Norfolk and Kermadec islands April 2025

description: An updated checklist of the fish fauna of Lord Howe Island, Elizabeth and Middleton Reefs, Norfolk Island and the Kermadec Islands.The subtropical islands of the north Tasman Sea have a fascinating mix of tropical, subtropical and temperate marine fishes. Species diversity and the proportion of tropical species in the fauna decline from west to east (Lord Howe Island, Elizabeth and Middleton Reefs &gt; Norfolk Island &gt; Kermadec Islands) (Francis 1993, Francis & Duffy 2015). This checklist has been compiled as a resource for those wishing to understand and interact with the fish faunas of these islands, monitor biodiversity and coastal fish biogeography, and to assess changes in the faunas as a result of global climate change.Coastal fishes are defined here as those species that occur within 50 m of the surface and 1 km of the shore, excluding oceanic pelagic species. Most species included in the checklist are reef fishes, but species living on or in sand, and in open water near the coast, are also included.
DOI: 10.6084/m9.figshare.29136341.v1
title: MMPs

description: MMPs
DOI: 10.17632/72hgnwmsvs
title: Sinter machine productivity

description: This datasets contains  Sinter Machine Productivity as out put and 16 input parameters: (1) I/O Fines Total, Fe % (2) I/O Fines SiO2, % (3)I/O Fines Al2O3, % (4)I/O Fines CaO, % (5)Flux CaO, % (6)Flux MgO, % (7)Flux Crushing Index, % (8)Coke Crushing Index, % (9)Sinter Total Fe, % (10)Sinter FeO, % (11)Sinter SiO2, % (12)Sinter Al2O3, % (13) Sinter CaO, % (14)Sinter MgO, % (15)Sinter +40mm Size, % (16)Drum Tumbling Index (DTI), % 

The objective is to correlate the input parameters with sinter plant productivity and suggest prescriptive analytics.
DOI: 10.6084/m9.figshare.19775137.v2
title: Data and Code for: Painting the Bunting: The pigmentary and structural basis of feather coloration in male Painted Buntings (Passerina ciris)

description: All data and code needed to reproduce the figures presented in the manuscript.
DOI: 10.15482/usda.adc/1529216
title: USDA National Nutrient Database for Standard Reference, Legacy Release

description: [Note: Integrated as part of FoodData Central, April 2019.]
The USDA National Nutrient Database for Standard Reference (SR) is the major source of food composition data in the United States and provides the foundation for most food composition databases in the public and private sectors.  This is the last release of the database in its current format.  SR-Legacy will continue its preeminent role as a stand-alone food composition resource and will be available in the new modernized system currently under development. SR-Legacy contains data on 7,793 food items and up to 150 food components that were reported in SR28 (2015), with selected corrections and updates. This release supersedes all previous releases.
DOI: 10.17632/65nsxhxtk8
title: Detection and Discovery of Microplastics in Human Intervertebral Disc and Effect of Microplastics on Intervertebral Disc Cells

description: Experimental data generated from the testing and discovery of microplastics in human intervertebral discs and the effect of microplastics on intervertebral disc cells.
DOI: 10.17632/m7g93whs3t
title: Dual arm peg-in-hole force/torque values during contact

description: In order to evaluate deep neural networks for contact state recognition during a bi-manual peg in hole assembly, a data set is gathered during an error recovery sequence when the peg and the hole are misaligned from the center. This experiment only covers 8 concentric error positioning class (y) and for every class the F/T vector of 12 features that correspond to the six component of sensor 1 and six component of sensor 2. Further explanation can be located on the research article. One file used for trainning has 2056 examples/rows and the second file used for validation has 159 examples/rows.
DOI: 10.17632/ptmn436pzm
title: EMIAS Study

description: Emergent Microsurgical Intervention in Acute Stroke Patients After Mechanical Thrombectomy Failure Trial (EMIAS) Dataset
DOI: 10.6084/m9.figshare.28107326.v1
title: SERS Nanoparticle background removal (PCa)

description: SERS background removal for <b>Cit-Ag NPs</b>
DOI: 10.6084/m9.figshare.19661001.v1
title: 2021 Protein Aggregate Movement

description: Data set and scripts for analyzing the movement patterns of protein aggregates within cells
DOI: 10.6084/m9.figshare.21428790.v2
title: Root Length

description: These datasets describe a study sampling root length data monthly from 18 stands for three years (2015-2017), which dominated by single species and their mixtures in post-fire boreal forests of two stand ages (8 and 34 years old).
DOI: 10.6084/m9.figshare.28899965.v1
title: Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data using a partial convolutional neural network

description: The persistent lack of spatially complete Antarctic sea ice thickness(SIT) data at sub-monthly resolution has fundamentally constrained the quantitative understanding of large-scale sea ice mass balance processes.In this study, a pan-Antarctic SIT dataset at 5-day and 12.5 km resolutionwas developed based on sparse Ice, Cloud and Land Elevation Satellite(ICESat; 2003–2009) and ICESat-2 (2018–2024) along-track laser altimetry SIT retrievals using a deep learning approach.The reconstructed SIT was quantitatively validated against independent upward-lookingsonar (ULS) observations and showed higher accuracy than the other four satellite-derived and reanalyzed Antarctic SIT datasets. The temporal evolution of the reconstructed SIT wasfurther validated by ULS and ICESat-2 observations. Consistent seasonal cycles and intra-seasonal tendenciesacross these datasets confirm the reconstruction's reliability. Beyond advancing the mechanistic understanding of Antarctic sea ice variability and climate linkages, this reconstruction dataset's near-real-time updating capability offers operational value for monitoringand forecasting the Antarctic sea ice state.
DOI: 10.6084/m9.figshare.29179742.v1
title: Normalized and log transformed data

description: Normalized and log transformed data for benchmarking project. These are not my datasets and are from cellxgene
DOI: 10.17632/sggnphhh9v
title: PRISMA Checklist and Flow chart for Systematic Review of the Epidemiology, disease severity and preventive measures of Mpox disease: A public health guideline for densely-populated countries

description: Thisdata is the PRISMA Checklist and Flow chart of the study titled 'Systematic Review of the Epidemiology, disease severity and preventive measures of Mpox disease: A public health guideline for densely-populated countries'.
DOI: 10.6084/m9.figshare.22769582.v1
title: RAAAP-3 Codebook

description: Codebook for the RAAAP-3 Survey Data 12th April 2023 Note that these are exports from the RAAAP-3_MainDataset SPSS file There are some additional text fields in some of the associated datafiles Where there have been slight changes to questions / options from the RAAAP-1/2 surveys, and where it is sensible to do so, some additional computed fields have been added. For example in RAAAP-1 the question on gender identity only had 3 options; {female, male, prefer not to provide} For RAAAP-2 we added {non binary} as an option; this is retained in RAAAP-3 GenderExtended Gender All of the backcoding is described in the SPSS syntax files Variable Information tab is produced from SPSS: File --&gt; Display Data File Information Variable Values tab is produced from SPSS: File --&gt; Display Data File Information (at the same time as Variable Information)
DOI: 10.6084/m9.figshare.26082451.v1
title: HiGTS_2003s4

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2003s4 contains the data from October 1, 2003 to December 31, 2003.
DOI: 10.6084/m9.figshare.26861956.v1
title: dataset for healthy food promotion strategy .zip

description: This study conducted two online experiment to explore whether construal level and the unhealthy-tasty intuition (UTI) moderate the effect of two major types of message strategies used for food promotion --- taste-focused message versus health-focused message on consumer responses. Study 1 employed a between-subject experimental design with four combinations of message strategies. Study 2 is a 2 (message type: taste-focused vs. health-focused) * 2 (state construal level: high vs. low) between-subject experiment.<br>
DOI: 10.6084/m9.figshare.27198735.v1
title: HeAL (Health Advice in LLMs)

description: HeAL benchmark (HEalth Advice in LLMs), a health-advice benchmark dataset that has been manually curated and annotated to evaluate LLMs’ capability in recognizing health-advice.<br><br>Some of the sentences in this data are sampled from: https://figshare.com/articles/dataset/MedRed/12039609/1, originally under MIT license (https://opensource.org/license/MIT).<br><br>THE Data IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE Data.<br><br>
DOI: 10.17632/fz75fn9tvf
title: Dupilumab induced phenotype switch from atopic dermatitis to psoriasis is characterized by de novo IL-17A expression: a case report 

description: Literature review of dupilumab-induced psoriasis.
DOI: 10.17632/gf5m2cjjzp
title: Factores asociados con alto riesgo cardiovascular en el Putumayo.

description: Un estudio de investigación en el Putumayo reveló que factores como nivel educativo, etnia, tipo de afiliación y zona estuvieron relacionados con riesgo cardiovascular. Además, a partir de los resultados se evidenció una alta proporción de personas con riesgo cardiovascular elevado en el Putumayo, con diferencias estadísticamente significativas entre zona.
DOI: 10.6084/m9.figshare.14787420.v2
title: Whitt 2021 LES paper, Data for plotting MITgcm results, updated June 28 2021

description: Regional ocean model output necessary for plotting figures in manuscript of Whitt et al. (2021).<br>Updated June 28, 2021.
DOI: 10.17605/osf.io/ku5af
title: Foam Lake dataset

description: UAV Imagery and Deep Learning Models for Woody Plant Encroachment Detection in Canadian Prairies
DOI: 10.17632/r6p47rh7xx
title: Complete diplotene transcriptome of larch microsporocytes.

description: Complete diplotene transcriptome of larch microsporocytes from the period of nuclear mRNA retention. The full dataset for the transcriptomic analysis (larch meiocytes 220 400 sequences over 150 nt in length)
DOI: 10.17632/syr8kcfn8k
title: Calculation of photoemission spectra for surfaces of solids

description: Title of program: PEOVER1 Catalogue Id: ACZY_v1_0 Nature of problem To calculate the photoemission current as a function of the frequency, polarisation and direction of the electromagnetic radiation, and the energy and direction of the emitted electron from a single crystal surface possibly with ordered overlayers deposited on the surface. CORRECTION SUMMARY: Vol:Year:Page 29:1983:417 "000A CORRECTION 31/01/83" "Calculation of photoemission spectra for surfaces of solids. (C.P.C. 19(1980)69)." J.F.L. Hopkinson; J.B. Pendry; D.J. Titterington Note: correction instructions are contained in source code Versions of this program held in the CPC repository in Mendeley Data ACZY_v1_0; PEOVER1; 10.1016/0010-4655(80)90068-5 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.19793956.v1
title: Supplementary Material for: Prenatal Negative Life Events and Childhood Allergies: The Japan Environment and Children’s Study (JECS)

description: <b><i>Background:</i></b> It is inconclusive whether prenatal negative life events are a risk for the development of allergic diseases in children or whether social capital modifies the association. The objective of this study was to examine whether women’s experiences of such events during pregnancy were associated with the development of allergic diseases in their offspring at 3 years old and whether social capital moderated this association. <b><i>Methods:</i></b> We used data from 81,337 mother-child pairs who participated in the Japan Environment and Children’s Study. This is a prospective birth cohort recruited between January 2011 and March 2014. We examined the associations between prenatal maternal negative life events (e.g., bereavement, financial, and marital problems) during pregnancy and allergic diseases (asthma, eczema, and food allergies) in children after adjustment for covariates using multivariate logistic regression. We also examined interactions between these life events and social capital, measured as two items, social cohesion and social support. <b><i>Results:</i></b> Prenatal negative life events were significantly associated with doctor-diagnosed asthma at 3 years old with a dose-response relationship (one life event vs. none: adjusted odds ratio 1.13, 95% confidence interval [CI]: 1.07–1.20; two life events vs. none: adjusted odds ratio 1.24, 95% CI: 1.13–1.36; three or more life events vs. none: adjusted odds ratio 1.26, 95% CI: 1.10–1.46; <i>p</i> for trend &lt;0.01). Similar results were observed for eczema and food allergies. There were no interactions between life events and social capital. <b><i>Conclusion:</i></b> Prenatal negative life events may be a risk factor for allergies in children. There was no modification of the effect of these events by social capital.
DOI: 10.6084/m9.figshare.21909270.v1
title: Core proteins of pBT2436-like plasmids and associated data

description: Core protein data for the pBT2436-like plasmids identified in the study.
DOI: 10.6084/m9.figshare.24798855.v1
title: Combinatorial prediction of therapeutic targets using a causally-inspired neural network

description: Dataset supporting "Combinatorial prediction of therapeutic targets using a causally-inspired neural network"<b>Abstract: </b>Phenotype-driven drug discovery, as an emerging alternative to target-driven strategies, focuses on identifying compounds that counteract the overall effects of diseases by analyzing phenotypic signatures. Our study introduces a novel approach to this field, aiming to expand the search space for discovering new therapeutic agents. We introduce PDGrapher, a causally-inspired graph neural network model designed to predict arbitrary perturbagens – a set of therapeutic targets – capable of reversing disease effects. Unlike current methods, which are limited by their reliance on predefined compound libraries, PDGrapher employs a novel combinatorial prediction framework to widen the search scope. PDGrapher has demonstrated significant improvements in predicting effective perturbagens, as evidenced by our evaluation across four datasets of genetic and chemical interventions. Notably, PDGrapher successfully predicted effective perturbagens in up to 10% additional test samples and ranked known therapeutic targets up to 35% higher than competing methods. A key innovation of PDGrapher is its direct prediction capability, which contrasts with the indirect, computationally-intensive models traditionally used in phenotype-driven drug discovery. This direct approach enables PDGrapher to train up to 30 times faster, representing a significant leap in efficiency and effectiveness. The results from our study suggest that PDGrapher could substantially advance phenotype-driven drug discovery, offering a faster, more expansive approach to identifying novel therapeutic compounds.
DOI: 10.6084/m9.figshare.28171283.v1
title: HyFlex Questionnaire Descrptive Data Analysis

description: This files is a complementary file for a manuscript titled <b>نگرش دانشجویان پیرامون دوره‌های آموزش ترکیبی منعطف در کلاس‌های زبان فرانسه در ایران</b>to be reviewed for possible publication
DOI: 10.6084/m9.figshare.3523910.v1
title: Appendix B. An example data input file for the microclimate model.

description: An example data input file for the microclimate model.
DOI: 10.6084/m9.figshare.6828848.v2
title: Southeast Pine Savannas and Woodlands Range Map

description: Geographic ranges of pine savanna and woodland vegetation types in the southeastern U.S. Divisions are based on abundance of overstory trees and ground-layer grasses. <br>Data for Figure in:Peet, R.K., Platt, W.J., Costanza, J.K. 2018. The ecology and management of fire-maintained savanna ecosystems of the Southeastern U.S. Coastal Plain. Chapter in: Ecology and Recovery of Eastern Old-Growth Forests. Editors: Keeton, W., Barton, A., Island Press, Washington, D.C., USA, pp. 39-62
DOI: 10.17632/9x2xj5h63c
title: Socio-demographic Factors linked to Substance use among Internally Displaced Persons in Maiduguri, Nigeria: Insights from Cross-Sectional Survey Data

description: Background: Internally displaced persons (IDPs) are frequently subjected to traumatic events, making them vulnerable to using substances. This study explores predictors and types of substances used by IDPs, prevalence of substance dependence, and reasons for substance use. Methods: Cross-sectional survey data were obtained from 520 IDPs living in camps located in Borno State, Nigeria. The Drug Use Disorders Identification Test (DUDIT) was adapted and administered to the participants. IBM SPSS was used to conduct univariate and multivariate linear regression analyses. Results: More than half (66.2%, n = 344) of the survey participants used at least one substance while a third of them (31.2%, n = 162) used more than one substance. About one in ten respondents met the instrument cut-off for dependence. The most popular substance used was Kolanut (46.5%, n = 242). Popular reasons for substance use were availability of substance, influence from others, and having a disease condition. Education, marital status, employment, and number of substances used were significantly associated with substance dependence. Conclusions: A high prevalence of substance use was found among the IDPs. The study highlights the need for intervention in the substance use problem affecting this vulnerable population
DOI: 10.17632/xv3nszxrft
title: Data for: Wanting to Eat Matters: Negative Affect and Emotional Eating Were Associated with Impaired Memory Suppression of Food Cues